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. 2021 Dec 9;10(12):1599. doi: 10.3390/pathogens10121599

Inhibition of Viral Membrane Fusion by Peptides and Approaches to Peptide Design

Nejat Düzgüneş 1,*,, Narcis Fernandez-Fuentes 2, Krystyna Konopka 1
Editors: Cristiano Salata, Ilaria Frasson
PMCID: PMC8709411  PMID: 34959554

Abstract

Fusion of lipid-enveloped viruses with the cellular plasma membrane or the endosome membrane is mediated by viral envelope proteins that undergo large conformational changes following binding to receptors. The HIV-1 fusion protein gp41 undergoes a transition into a “six-helix bundle” after binding of the surface protein gp120 to the CD4 receptor and a co-receptor. Synthetic peptides that mimic part of this structure interfere with the formation of the helix structure and inhibit membrane fusion. This approach also works with the S spike protein of SARS-CoV-2. Here we review the peptide inhibitors of membrane fusion involved in infection by influenza virus, HIV-1, MERS and SARS coronaviruses, hepatitis viruses, paramyxoviruses, flaviviruses, herpesviruses and filoviruses. We also describe recent computational methods used for the identification of peptide sequences that can interact strongly with protein interfaces, with special emphasis on SARS-CoV-2, using the PePI-Covid19 database.

Keywords: peptide design, virus entry, 6-helix bundle, coiled coil, computation methods, SARS-CoV-2, HIV-1, influenza

1. Cellular Entry of Lipid Enveloped Viruses

Virus replication can be generally divided into the early phase, which comprises attachment to the host cell, penetration and uncoating, and the late phase, which includes macromolecular synthesis, assembly and release [1,2]. Virus entry starts by attachment to particular receptors on the host cell membrane. The primary receptor for human immunodeficiency virus type 1 (HIV-1) is CD4, a marker of T helper lymphocytes that is also found on monocyte/macrophages. Glycoproteins and glycolipids with terminal sialic acid units act as host cell receptors for the influenza virus. Following receptor binding, enveloped viruses may fuse directly with the plasma membrane if their fusion machinery is active at neutral pH (e.g., HIV-1, measles virus), or they may be endocytosed and then fuse with the membrane of the endocytotic vesicle, if their fusion machinery requires the mild acidification of the endosome lumen facilitated by the cellular proton pump (e.g., influenza virus, rabies virus).

There are three main types of viral membrane fusion proteins [3,4,5]. The hemagglutinin, HA, of influenza virus, and the envelope protein (gp120/gp41) of HIV-1 are Class I proteins. They are synthesized as precursor proteins that are cleaved by cellular proteases, including the transmembrane protease serine S1 member 2 (TMPRSS2) [6], forming active trimers. In the case of HA, proper trimer formation is essential for transport from the endoplasmic reticulum to the Golgi and the plasma membrane [7]. The trimers are then incorporated into the budding viral membrane.

After interacting with their receptor, and in some cases after acidification of the local environment, these proteins fold into hairpin-like structures where two alpha-helices from each monomer interact with the two-alpha helices from the other two monomers, forming the hairpin conformation. This final structure is called the six-helix bundle. The transition to the six-helix bundle appears to be an important intermediate stage in membrane fusion and is thus a target for antiviral peptides.

The E1 protein of alphaviruses, which include Western, Eastern and Venezuelan equine encephalitis viruses and chikungunya virus, and the E protein of flaviviruses, which include West Nile, Zika, yellow fever, Dengue and hepatitis C viruses, are Class II fusion proteins that are produced when a precursor protein is cleaved [8,9,10,11]. The p62 is cleaved off the precursor polyprotein, p62-E1, to produce the E2 protein that protects the E1 protein and binds to receptors on the host cell membrane. Following endocytosis of the virions, these proteins change from an unstable dimer into a stable trimer that transforms into a hairpin-like structure; the fusion domain of the protein extends towards the endosome membrane, and the terminal hydrophobic fusion loop inserts into the membrane.

Class III glycoproteins are found in rhabdoviruses, such as rabies virus and vesicular stomatitis virus (the G protein), as well as herpesviruses (the gB protein), and do not require the cleavage of a precursor [5,12,13]. A stretched β-sheet fusion domain of class III proteins inserts hydrophobic fusion loops into the target membrane, similar to class II proteins. In rhabdoviruses, the G protein undergoes a conformational change that is initiated by the mildly acidic pH in endosomes.

In this review, we describe peptide inhibitors of membrane fusion of individual virus families, starting with HIV-1, for which a peptide medicine (“Enfuvirtide”) is already available for clinical use.

2. HIV-1

2.1. HIV-1 Infection Is Mediated by the Viral Envelope Glycoprotein (Env) That Attaches to the Cellular Receptor and Induces Virus–Cell Membrane Fusion

The Env protein of HIV-1 forms trimers in the viral membrane, and each protomer consists of two non-covalently interacting glycoproteins, the surface protein gp120 and the transmembrane protein gp41. Following the interaction of gp120 with the primary cellular receptor, CD4, Env undergoes conformational changes that enable the gp120 to bind to the co-receptor (CCR5 or CXCR4, depending on the tropism of the virus) and the insertion of the fusion peptide of gp41 to insert its fusion peptide into the host cell membrane, initiating the fusion reaction [14,15]. Single-molecule fluorescence resonance energy transfer experiments indicate that, after binding to a single CD4 molecule, the individual protomers have distinct conformations. The trimer undergoes further transformation when the remaining gp120 molecules bind CD4 and the co-receptor [15,16].

2.2. Small Peptides Can Inhibit Membrane Fusion

The carbobenzoxy-D-Phe-L-Phe-Gly peptide, an inhibitor of paramyxovirus fusion [17] was found to inhibit syncytium formation between chronically HIV-1-infected cells and CD4+ cells [18] (Table 1). The peptide, however, has a very limited effect on HIV-1 infection [18]. The latter observation suggests that the mechanisms of gp120/gp41-mediated cell–cell fusion may be different than that in virus–cell fusion [18]. By contrast, a hexapeptide with a sequence identical to the N terminus of gp41 inhibits the fusion of a pseudo-typed vaccinia virus expressing the HIV-1 envelope protein with HeLa cells expressing the cellular receptor, CD4 [19].

Table 1.

Peptide inhibitors of HIV-1 fusion *.

Peptide Target Experimental System Reference
CBZ-D-Phe-L-Phe-Gly gp41 fusion peptide Cell–cell fusion; infection [18]
gp41 N-terminal hexapeptide gp41 fusion peptide gp120/gp41 pseudo-virus fusion [19]
aa 81–92 of CD4 gp120 Cell–cell fusion; infection [20]
CD4 CDR-3-like domain gp120 Cell–cell fusion [21]
V3 loop eight-branched peptide gp120 HIV infection [22]
DP-178 gp41 NHR Cell–cell fusion [23,24]
PEG-C34 gp41 NHR Cell–cell fusion [25]
Cholesterol-C34 gp41 NHR Infection [26]
PIE12-trimer gp41 NHR hydrophobic pocket HIV-1 and pseudo-type infection [27]

* Abbreviation: NHR, N-terminal heptad repeat.

2.3. CD4- and V3 Loop-Derived Peptides Inhibit Membrane Fusion and Infection

Benzyl-derivatized peptides corresponding to residues 81–92 of CD4 inhibit HIV-1-induced cell–cell fusion and infection at micromolar concentrations [20]. A synthetic peptide corresponding to the CD4 complementarity-determining region 2 (CDR-2)-like domain binds specifically to HIV-1-infected cells [21]. When this peptide is coupled covalently to liposomes, it enables the binding of the liposomes to HIV-1-infected cells. A different peptide derived from the CD4 CDR-3-like domain inhibits HIV-induced syncytia formation at micromolar concentrations [21]. An eight-branched peptide derived from the V3 loop of gp120 completely inhibits HIV-1LAI infection of a T lymphocyte cell line at 5 µM, while the monomer has a minimal effect, while a peptide corresponding to the entire V3 loop has no activity [22].

2.4. Peptides Corresponding to the Heptad Repeat Domain of Env Inhibit HIV-1 Membrane Fusion

Wild et al. [23] found that a peptide designated DP-178, corresponding to a possible alpha-helical region of the ectodomain of gp41, inhibits virus-induced cell–cell fusion with an IC50 of 100 pM or 0.5 ng/mL. Truncation of the C-terminal region of the peptide by four amino acids results in an inactive peptide. Heptad structures in proteins have a repeating amino acid sequence of the form (a-b-c-d-e-f-g)n, where “a” and “d” are apolar residues, and they form alpha-helices arranged in a coiled-coil structure [28]. The peptide DP-178 mimics the membrane proximal, C-terminal heptad repeat (CHR) region of gp41, and it most likely interacts with the membrane distal, N-terminal heptad repeat region (NHR) of gp41, in an intermediate conformation of gp41 before membrane fusion with the host cell membrane [24] (Figure 1).

Figure 1.

Figure 1

HIV-1 Env-mediated membrane fusion. (A) Surface and cartoon representation of the three-dimensional structures of gp120, gp41, CD4 and CCR5. The panel is a composite of the cryo-electron microscopy structure of a full-length gp120 in complex with soluble CD4 and unmodified human CCR5 (PDB code: 6MEO), the structural model of gp120 in complex with CD4 (PDB code: 3J70) and gp41 ectodomain core (PDB code: 1DF5). Binding of gp120 to the CD4 receptor and the co-receptor (a chemokine receptor) and the subsequent conformational changes, leading to the insertion of the gp41 fusion peptide into the host cell membrane, and the formation of the six-helix bundle, comprising the three C-terminal heptad repeat domains and the three N-terminal heptad repeat domains. This conformational change brings the viral and cellular membranes in close proximity to each other. The hydrophobic forces between the membrane-inserted fusion peptides and the membrane anchors of the gp41 are thought to cause membrane fusion. The structural rendering in the left panel was carried out using PyMol (https://pymol.org, accessed on 1 December 2021). (B) Inhibition of membrane fusion by various peptides. Red: An inhibitor of gp120-CD4 binding. Green: An inhibitor of gp120 binding to the co-receptor. Blue: An eight-branched peptide mimicking the gp120 V3 loop, thereby inhibiting the interaction of gp120 with the co-receptor. Orange: A peptide similar in composition to the N-terminal fusion peptide of gp41 that competes with the fusion peptide. Purple: A peptide derived from the C-terminal heptad repeat domain of gp41 (CHR) that interacts with the N-terminal heptad repeat (NHR), thereby preventing the normal interaction between the two HR regions. Interaction of gp120 with CD4 and the co-receptor results in the release of the gp120 from the gp41. Modified from Düzgüneş and Konopka [29] (Medical Research Archives 8(9), 1–33; 2020) (https://doi.org/10.18103/mra.v8i9.2244, accessed on 1 December 2021).

If the inhibition of fusion is caused by interference with the interaction of the CHR and NHR domains, it may be expected that NHR-derived peptides should block the binding of CHR-peptides to the NHR domain. This inhibition, however, cannot be blocked by NHR-peptides [30]. Moreover, complexes of CHR-peptides and NHR-peptides are inhibitory to fusion. Thus, the mechanism of fusion inhibition may be more complicated than our current view. CHR-peptides also interact with the N-terminal, fusion peptide region of gp41. In a clinical trial, DP-178 (called “T-20” at this stage of its development as an antiviral) administered intravenously reduced the plasma levels of HIV-1 by almost two orders of magnitude [31]. In 2003, the U.S. Food and Drug Administration and the European Medicines Agency approved T-20 (Fuzeon; Enfuvirtide, San Francisco, CA, USA) for clinical use.

The peptide segments N36 and C34 corresponding to the heptad repeat regions of the gp41 α-helical domain form a trimer of two interacting peptides, with three N36 helices forming an interior, coiled-coil trimer, and three C34 helices in an oblique, antiparallel fashion [32]. The six-helix bundle appears to form immediately after gp120 interacts with the co-receptor of HIV-1, CXCR4 [33].

2.5. Conjugation of Poly(ethylene glycol) to Heptad Repeat Peptides Prolongs Circulation in Blood

Since the half-life of T-20 in plasma is only about 1.1 h, Wang et al. [25] explored the effect of conjugating poly(ethylene glycol) (PEG) to peptide C34, which is analogous to a region of the CHR further towards the N-terminus compared to T-20. The half-life of the 2 kD PEG derivative of the peptide is 2.6 h, and that of the 5 kD PEG derivative is 5.1 h. The 50% effective concentrations (EC50) of these peptides in inhibiting HIV-1 Env-mediated cell–cell fusion are lower than those of T-20.

2.6. Cholesterol Coupling to Heptad Repeat Peptides Can Enhance Their Fusion Inhibitory Activity

The C34 peptide competes with the CHR region of gp41, thus inhibiting the formation of the six-helix bundle involved in membrane fusion and comprising both the NHR and CHR [34]. Ingallinella et al. [26] attached a cholesterol molecule to the C-terminus of the C34 peptide in an attempt to localize the inhibitor to the cell membrane where HIV-1 fuses. C34-chol inhibits the infectivity of six HIV-1 isolates at IC50 values in the range 6–34 pM. These are much lower concentrations compared to those of plain C34 (205 pM) and T-20 (692 pM). Cholesterol coupling is, however, not a universal inhibition enhancer; for example, cholesterol-coupled T-20 has an IC50 of about 3726 pM.

2.7. A Peptide Targeting a Hydrophobic Pocket of HIV-1 gp41 N-terminal Heptad Repeat Trimers Inhibits Infection by Different Virus Isolates

The gp41 NHR-trimer has a hydrophobic pocket formed by each NHR’s 17-amino acid C-terminal region. The pocket has a conserved sequence, it is necessary for virus–cell membrane fusion, it constitutes a compact binding site for potential inhibitors and it is exposed to the medium, rendering it a good target for peptide inhibitors [35]. Welch et al. [27] designed a peptide, “PIE12-trimer”, composed of D-amino acids, with a very high affinity for the gp41 pocket. The IC50 of this peptide ranges from 0.4 nM for the NL4.3 isolate to 5.7 nM for the JRFL isolate, among the 23 viruses pseudo-typed with clonal and polyclonal envelopes, and is much lower than that of Enfuvirtide.

Thus, peptides corresponding to the C-terminal heptad repeat region of HIV-1 gp41 are effective inhibitors of viral infection.

3. Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV)

3.1. The C-Terminal S2 Domain of the SARS-CoV Spike Protein S Is Involved in Membrane Fusion with the Host Cell Membrane

The coronavirus spike glycoprotein, S, is a Class I fusion protein and forms a trimeric structure visible in electron micrographs of the virus and changes its conformation after binding to the viral receptor, angiotensin-converting enzyme 2 (ACE2), on the cell membrane [29,36]. The transmembrane protease/serine subfamily (TMPRSS) cell surface proteases cleave the S protein into S1 and S2 sub-fragments. The receptor-binding domain (RBD) of S is located in the N-terminal S1 domain of S. Membrane fusion activity of the spike protein is associated with the C-terminal S2 domain (Figure 2). Insights on the mechanism of HIV-1 Env-mediated fusion led Liu et al. [37] to identify peptide inhibitors of the severe acute respiratory coronavirus (SARS-CoV) S-protein. The HIV-1 Env-mediated fusion is thought to involve the interaction of the membrane-distal, or N-terminal, NHR (also termed “HR1”) of gp41, and the membrane-proximal, or C-terminal, CHR (termed “HR2”) of the transmembrane protein. The S2 of SARS-CoV has some motifs similar to that of gp41, including the N-terminal leucine/isoleucine zipper and the C-terminal HR. Thus, it was likely that peptides like T-20 could potentially inhibit the fusion of SARS-CoV and the host cell membrane [38].

Figure 2.

Figure 2

The domains of the SARS-CoV and SARS-CoV-2 spike protein, S. Reproduced from Düzgüneş and Konopka [29] (Medical Research Archives 8(9), 1–33; 2020) (https://doi.org/10.18103/mra.v8i9.2244, accessed on 1 December 2021).

3.2. The HR2 Peptide Derived from the C-Terminal Heptad Repeat Region of S Inhibit SARS-CoV Infection

Looking at the cytopathic effect caused by SARS-CoV in Vero cells, Zhu et al. [39] found that a synthetic HR2 peptide and a glutathione-S-transferase (GST)-HR2 fusion peptide are inhibitory to infection by SARS-CoV (Table 2). The HR2 peptide has an EC50 in the range 0.5–5 nM, and the GST-HR2 peptide has an EC50 in the range 66–500 nM. In this system, there is no inhibitory effect for HR1-derived peptides. Using the pseudo-typed HIV-luc/SARS virus, Yuan et al. [40] reported an EC50 of 0.14 µM for the HR1-derived peptide, HR1-1, and 1.19 μM for the HR2-derived peptide, HR2-18. Experiments with wild-type SARS-CoV also showed that the peptides inhibit infection.

Table 2.

Peptide inhibitors of SARS-CoV fusion *.

Peptide Target Experimental System Reference
SARS-CoV HR2 peptide S-protein NHR (HR1) Cytopathic effect [39]
GST-HR2 peptide S-protein NHR (HR1) Cytopathic effect [39]
HR1-1 S-protein CHR (HR2) Pseudo-typed HIV-luc/SARS virus [40]
HR2-18 S-protein NHR (HR1) Pseudo-typed HIV-luc/SARS virus [40]
CP-1 (from HR2) S-protein HR1 domain Infection [37]
sHR2-8 S-protein HR1 domain Infection [41]
P6 (from HR2) Deep groove of HR1 trimer S-expressing cell fusion with ACE2-cells [42]
N46 (from HR1) S-protein HR2 domain S-expressing cell fusion with ACE2-cells [42]
SR9 and SR9EK13 S-protein HR1 domain Entry at the plasma membrane [43]

* Abbreviations: NHR (HR1), N-terminal heptad repeat, also termed HR1; GST-HR2, glutathione-S-transferase-HR2 fusion protein; CHR (HR2), C-terminal heptad repeat, also termed HR2.

3.3. The Peptides CP-1 and sHR2-8 Derived from the HR2 Region Inhibit Infection at Micromolar Concentrations

The 37-amino acid peptide (CP-1) corresponding to a sequence of the HR2 region of S inhibits infection at micromolar concentrations [37]. Biophysical techniques including surface plasmon resonance and sedimentation equilibration analysis showed that this peptide binds to a peptide (NP-1) derived from the HR1 domain with high affinity and forms a six-helix bundle when mixed at equimolar concentrations. During the structural rearrangement of the S protein as SARS-CoV is fusing with the cell membrane, CP-1 most likely binds to the HR1 region and prevents the association of the HR2 and HR1 heptad repeat domains, and thus inhibits membrane fusion. A study by Bosch et al. [41] identified an HR2-derived peptide (sHR2-8) with an EC50 of 17 µM, based on SARS-CoV infection of Vero cells.

3.4. The HR2-Derived Peptides SR9 and SR9EK13 Inhibit Viral Entry at the Cell Surface, following Protease Activation of S at Nanomolar Concentrations

A 23-mer peptide (P6), derived from the HR2 region, inhibits membrane fusion between S-protein-expressing cells and cells expressing ACE2 at an IC50 of 1 μM [42]. The peptide most likely inhibits fusion by binding to the deep groove of the HR1 trimer. The combined use of an HR1-derived peptide, N46, and its mutant N46eg, inhibits cell–cell fusion at an IC50 of 1.4 μM, in contrast to previous studies. Ujike et al. [43] showed that two HR2-derived peptides, SR9 and SR9EK13, inhibit the plasma membrane entry of SARS-CoV with an EC50 of 4–5 nM, following the activation of the viral S protein by proteases. However, they are ineffective against the endosomal entry of the virus. These peptides may be effective in preventing viral infection of the lungs after activation of the spike protein by lung proteases [43].

It is clear that peptides based on the HR2 domain of the cleaved S protein (S2) of SARS-CoV have significant antiviral activity. It is not known why some peptides have effective concentrations in the micromolar range and others in the nanomolar range.

4. Middle East Respiratory Syndrome Coronavirus (MERS-CoV)

4.1. The Peptides HR1P and HR2P Derived from the HR1 and HR2 Regions, Respectively, of the MERS-CoV S2 Protein Form a Six-Helix Bundle, and HR2P Inhibits Membrane Fusion

Middle East respiratory syndrome coronavirus (MERS-CoV) infects cells through the interaction of its S protein with the cellular receptor, dipeptidyl peptidase 4 (CD26) [44,45], cleavage of the protein by cell membrane proteases and membrane fusion between the virus and the host cell. X-ray diffraction of the crystallized S2 subunit of the S protein indicated that the peptides HR1P derived from the HR1 region of the S2 protein and HR2P derived from the HR2 region form a six-helix bundle [46]. Virus replication and cell–cell fusion are inhibited by HR2P (Table 3). The cell–cell fusion inhibitory activity of the peptide is enhanced by adding hydrophilic amino acids to the peptide to increase its alpha-helicity, with an IC50 of 0.56 µM. Another derivative, HR2P-M2, with improved pharmaceutical characteristics, inhibits S-protein-mediated cell–cell fusion (IC50 = 0.55 µM) and infection by a pseudo-virus that expresses S (IC50 = 0.6 µM) [47]. After intranasal delivery, the peptide reduces the viral titer in the lungs in a murine model of MERS-CoV infection by more than three orders of magnitude.

Table 3.

Peptide inhibitors of MERS-CoV fusion *.

Peptide Target Experimental System Reference
HR2P S-protein NHR (HR1) Virus replication; cell–cell fusion [46]
HR2P-M2 S-protein NHR (HR1) Pseudo-virus infection; cell–cell fusion [47]
HR2P-M2 S-protein NHR (HR1) Infection in a murine model [47]
MERS-5HB S-protein CHR (HR2) Pseudo-virus infection; cell–cell fusion [48]
EK1 S-protein NHR (HR1) Cell–cell fusion; infection [49]
EK1C4 S-protein NHR (HR1) Cell–cell fusion; infection [49]
SARS-CoV-2 HRC lipopeptide S-protein NHR (HR1) Cell–cell fusion; virus infection [50]

* Abbreviations: NHR (HR1), N-terminal heptad repeat, also termed HR1; CHR (HR2), C-terminal heptad repeat, also termed HR2.

4.2. The MERS-Five-Helix Bundle, with Three HR1 and Two HR2 Peptides, Inhibits Infection by a Pseudo-Typed Virus

Sun et al. [48] designed an unusual peptide conglomerate termed “MERS-five-helix bundle (MERS-5HB)”, comprising three copies of HR1 and two copies of HR2, thus lacking one HR2, which would have been part of the six-helix bundle. Thus, MERS-5HB could be expected to bind the viral HR2, and thus inhibits the formation of the six-helix bundle. MERS-5HB interacts with an HR2 domain peptide, HR2P, with a KD of about 0.24 nM, and inhibits infection by pseudo-typed MERS-CoV at an IC50 of about 1 μM, and cell–cell fusion at an IC50 of approximately 0.6 µM.

The concept of inhibiting the formation of the six-helix bundle to inhibit viral membrane fusion holds for MERS-CoV as well.

5. Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2)

5.1. The Cholesterol-Coupled, HR1-Targeting Peptides EK1C4 and IPB02 Inhibit Cell–Cell Fusion and Pseudo-Typed Virus Fusion at Nanomolar Concentrations

Like SARS-CoV, SARS-CoV-2 binds the ACE2 receptor via the S1 domain of its spike protein, S [51]. SARS-CoV-2 appears to fuse more efficiently with the host plasma membrane than SARS-CoV [49]. The peptide EK1 designed by Xia et al. [49] targets the HR1 domain of the S-protein and inhibits the fusion activity of SARS-CoV and MERS-CoV (Figure 3, Table 4). The cholesterol derivative of EK1 (EK1C4) is a highly effective inhibitor of S-protein-mediated cell–cell fusion, with an IC50 of 1.3 nM, which is 241-fold lower than that of the original peptide, EK1. Infection by a pseudo-virus expressing S is inhibited by EK1C4 at an IC50 of 15.8 nM, 149-fold lower than that of EK1.

Figure 3.

Figure 3

SARS-CoV-2-mediated membrane fusion and its inhibition. (A) Surface and cartoon representation of the three-dimensional structures of full-length ACE2, BoAT1 and SARS-CoV-2 spike proteins. The left panel is a composite of the cryo-electron microscopy structure of a full-length ACE2 in complex with BoAT1 (PDB code: 6m17) and the structure of the trimer SARS-CoV-2 spike protein ectodomain in open form (PDB code: 6VYB). The S1 segment of the spike protein, S, bind to its receptors on host cells. This leads to the insertion of the fusion peptide into the host cell membrane and to the conformational change of the now separate S2 domain of S, resulting in the formation of the six-helix bundle and the close approach of the two membranes. The hydrophobic interactions between the fusion peptide and the transmembrane domains of the S protein leads to membrane destabilization and fusion. The structural rendering in the left panel was carried out using PyMol (https://pymol.org, accessed on 1 December 2021). (B) Inhibition of membrane fusion by various peptides. Red: A peptide that binds to the receptor-binding domain of S1. Green: A peptide that inhibits the interaction between S1 subunits. Orange: An S2 fusion peptide mimic that may inhibit the interaction of the fusion peptide with the target membrane. Purple: A peptide derived from the S2-HR2 region that binds with high affinity to the HR1 region and inhibits the interaction between the S2-HR1 and S2-HR2 domains, thus preventing six-helix bundle formation and membrane fusion. Adapted from Düzgüneş and Konopka [29] (Medical Research Archives 8(9), 1–33, 2020 (https://doi.org/10.18103/mra.v8i9.2244, accessed on 1 December 2021).

Table 4.

Peptide inhibitors of SARS-CoV-2 fusion *.

Peptide Target Experimental System Reference
EK1 S-protein NHR (HR1) Cell–cell fusion; pseudo-virus infection [49]
EK1C4 S-protein NHR (HR1) Cell–cell fusion; pseudo-virus infection [49]
IBP02 S-protein NHR (HR1) Cell–cell fusion; pseudo-virus infection [51]
SARS-CoV-2 HRC lipopeptide S-protein NHR (HR1) Cell–cell fusion; virus infection [50]

* Abbreviations: NHR (HR1), N-terminal heptad repeat, also termed HR1.

The HR1 domain of SARS-CoV-2 has higher α-helicity and binding affinity to the HR2 domain than the HR1 region of SARS-CoV [51]. The lipopeptide, IPB02, derived from the HR2 sequence and modified by coupling cholesterol to its C-terminus, is highly effective in inhibiting SARS-CoV-2 S-mediated cell–cell fusion (IC50 = 25 nM) and infection by an S-expressing pseudo-virus (EC50 = 80 nM).

5.2. There Are Assay- or Cell-Dependent Variations in the Evaluation of Membrane Fusion Activity

A cholesterol-coupled lipopeptide corresponding to the C-terminal heptad repeat (HRC or HR2) domain of SARS-CoV-2 S inhibits S-mediated cell–cell fusion, measured by β-galactosidase complementation, with an IC50 of ∼10 nM and an IC90 of ∼100 nM [50]. Cholesterol-coupled EK1 [49] also inhibits cell–cell fusion in this system [50], but at an IC50 of ~300 nM (IC90 > 900 nM), indicating assay- or cell-dependent variations in measurements of membrane fusion activity. An advantage of this HRC-lipopeptide is that it is highly inhibitory to fusion by the D614G, S943P and S247R variants of SARS-CoV-2, as well as MERS and SARS-CoV S-mediated cell–cell fusion. The HRC-lipopeptide is highly effective in inhibiting SARS-CoV-2 infection in a plaque neutralization assay, with an IC50 of ~6 nM [50]. It also inhibits viral spread in human airway epithelial cultures (which is an ex vivo model of virus propagation in the lungs), measured by using SARS-CoV-2 expressing a stable mNeonGreen reporter gene and monitoring the fluorescence of the cultures.

The low nanomolar inhibitory concentrations of these molecules, especially those containing cholesterol that facilitates membrane localization, render them candidates for antiviral drugs.

6. Influenza Virus

6.1. Influenza Virus Fusion Is Mediated by the Low pH-Induced Conformational Change of the Viral Hemagglutinin

The hemagglutinin (HA) of influenza virus is cleaved via proteolysis by cellular enzymes into HA1 and HA2 subunits. These enzymes include TMPRSS2, TMPRSS4, the human airway trypsin-like protease and kallikrein-related peptidases 5 and 12 [52,53]. HA1 mediates binding to sialic acid-containing glycoproteins or glycolipids in the host membrane. The mildly acidic pH encountered in endosomes following endocytosis of the virus causes the unfolding of the trimeric HA [54,55] and the insertion of the hydrophobic N-terminus of the HA2 (the fusion peptide) into the host cell membrane. We have proposed that it is the conformational change of the HA that mediates fusion, and not the low pH configuration itself [56,57]. Supporting this hypothesis is the finding that if influenza virus is exposed to low pH without the presence of the target membrane, the HA undergoes an irreversible conformational change and the virus is unable to fuse [58,59].

6.2. Influenza Virus Fusion May Be Inhibited by Competitive Inhibitors of the Receptor-Binding Domain of HA

Matsubara et al. [60] utilized a phage display peptide library to identify peptides that fulfilled this function (Table 5). The peptide s2 coupled to stearic acid (C18-s2) inhibits the infection of MDCK cells by the H1N1 influenza virus at an IC50 of 11 µM, and by the H3N2 virus at 15 µM. EB (“entry blocker”), a 20-amino-acid peptide, inhibits virus binding to the cellular receptor by interacting with HA [61]. The peptide inhibits virus-induced cytotoxicity to MDCK cells with an IC50 of 4.5 μM, and is effective against infection by H5N1, H5N9 and H1N1 subtypes.

Table 5.

Peptide inhibitors of influenza virus fusion *.

Peptide Target Experimental System Reference
C18-s2 HA receptor-binding domain Virus infection [61]
EB HA receptor-binding domain Virus-induced cytopathology [62]
P155-181-chol HA internal coiled coil Virus infection [64]
43 aa Peptide-CPP HA2 helix–helix interactions Virus–liposome fusion; in vivo [65]
iHA-100 HA stalk domain Virus infection [67]
Cyclic P5, P6 HA stem hydrophobic region Virus neutralization [68]

* Abbreviations: HA, hemagglutinin; CPP, cell-penetrating peptide.

Based on molecular dynamics and quantum chemistry calculations, Perrier et al. [62] designed peptides that could bind a protein cavity in the HA2 subunit of HA. They identified two pentapeptides that interacted with HA2 with high stability at both pH 7 and 5; however, the peptides have not been tested for their fusion inhibitory activity.

6.3. A Cholesterol-Coupled Peptide Corresponding to a Membrane Proximal Domain of HA Inhibits Influenza Infection at Low Micromolar Concentrations

The internal coiled coil of HA identified in the low pH-induced, post-fusion structure of the protein interacts with a region of HA immediately outside the viral membrane [63]. The peptide (P155-185) corresponding to a segment of this region, coupled to cholesterol at its C-terminus (generating P155-181-chol), inhibits infection by influenza A/H3N2 with an IC50 of 0.4 μM. A peptide missing the four C-terminal amino acids has an IC50 of 2 µM. The peptides without the cholesterol do not have a significant inhibitory effect. The authors attributed this effect to the insertion of the cholesterol moiety into the plasma membrane and internalization of the coupled peptide together with the virus in endosomes. The acidification of the endosome lumen exposes the region of HA recognized by the peptide, thereby preventing the full conformational change of the protein that would otherwise induce membrane fusion [63].

6.4. A Fusion Inhibitory Peptide Derived from a Helical Region of HA2 Coupled to a Cell-Penetrating Peptide Reduces the Viral Titer in an Animal Model

Figueira et al. [64] added a cell-penetrating peptide to a fusion inhibitory peptide of 43 amino acids, which was derived from a helical region of the HA2 subunit participating in helix–helix interactions. The cell-penetrating peptide, which would facilitate partition of the entire peptide into the plasma membrane, was derived from the HIV-1 Tat protein. The new construct inhibits influenza virus fusion with liposomes composed of dioleoylphosphatidylcholine, a zwitterionic lipid, at a relatively high concentration (10 µM), which may be expected because of the absence of a sialic acid-containing receptor on the liposome surface. The intranasal administration of the peptide, however, reduces significantly the local viral titer in infected rats.

6.5. The Peptide iHA-100 Generated by a Macrocyclic Peptide Expression System Inhibits Membrane Fusion at Nanomolar Concentrations

The Random Non-Standard Peptides Integrated Discovery (RaPID) system is a peptide screening system that combines mRNA display technology with the Flexible In Vitro Translation System [65]. This system consists of “flexizyme”, an artificial ribozyme and a cell-free translation system from Escherichia coli, and enables the expression of thioether-macrocyclic peptides including non-standard amino acids [65]. This system helps in the identification of high-affinity ligands for a protein of interest. Using the RaPID system, Saito et al. [66] obtained macrocycles named iHAs that can bind influenza HA. Among these peptides, iHA-100 inhibits both viral adsorption (IC50 = 0.036 µM) and membrane fusion (EC50 = 0.07 µM) by interacting with the HA stalk domain.

6.6. The Complementarity Determining Domains of Neutralizing Antibodies Can Be Used to Design Peptides

In a different approach to peptide design, Kadam et al. [67] utilized the complementarity-determining region loops of human broadly neutralizing antibodies against influenza HA. The optimized peptides, at nanomolar concentrations, bind to the stem region of HA of 2009 H1N1 pandemic and avian H5N1 strains and block the low pH-induced conformational change of HA that leads to membrane fusion.

7. Hepatitis Viruses

7.1. The Region of the Hepatitis Virus L Protein That Binds to the Cell Surface Sodium-Taurocholate Co-Transporting Polypeptide Receptor has been Identified

The Hepatitis B virus (HBV) membrane has large (L), middle (M) and small (S) membrane-spanning glycoproteins that share the same C-terminal S-domain, which is anchored in the lipid bilayer by five membrane-spanning helices. The L protein contains the N-terminal pre-S1, the central pre-S2 and the C-terminal S domains. M lacks the pre-S1 domain, and S only has the S domain [68]. These proteins are glycosylated type II transmembrane proteins. They form multimers with disulfide bridges. The virus interacts first with heparan sulfate proteoglycans on the hepatocyte surface. The myristoylated N-terminal of the pre-S1 domain [69,70] binds to the high-affinity receptor, the sodium-taurocholate co-transporting polypeptide (NTCP/SLC10A1) [70,71]. The identification of NTCP as a hepatocyte receptor has revealed a target for HBV entry inhibition [68,72,73,74,75].

7.2. Myrcludex B Inhibits the Binding of Hepatitis B Virus to Its Receptor

The myristoylated peptide, Myrcludex B, whose sequence corresponds to the N-terminal amino acids of the pre-S1 of L, inhibits HBV and hepatitis D virus entry into hepatocytes by binding with high efficacy to NTCP (IC50 = 80 pM) [74,76] (Table 6). Myrcludex B (currently named bulevirtide) is currently in phase III clinical trials in chronically HBV-/HDV-infected patients [77].

Table 6.

Peptide inhibitors of hepatitis virus binding/fusion *.

Peptide Target Experimental System Reference
Myrcludex B (bulevirtide) NTCP Hepatitis B virus infection [74,76]
E27 E1–E2 protein dimerization Hepatitis C virus fusion [78]
CL58 E2 Hepatitis C virus fusion [79]

* Abbreviations: NTCP, sodium-taurocholate co-transporting polypeptide; E1, E2, Hepatitis C envelope proteins.

7.3. The E2 Protein of Hepatitis C Virus Interacts with Different Cellular Receptor Molecules, including Tetraspanin, Claudin and Transferrin Receptor 1

Hepatitis C virus (HCV), a small, enveloped virus containing a positive-sense, single-stranded RNA, is classified in the Hepacivirus genus of the Flaviviridae family. The envelope glycoproteins E1 and E2 are type I transmembrane proteins with an N-terminal ectodomain and a short C-terminal transmembrane domain. They form large covalent heterodimers stabilized by disulfide bridges [80]. The entry of HCV into hepatocytes requires interactions between the viral envelope proteins and several host cell surface molecules, including tetraspanin CD81, scavenger receptor class B type 1 (SR-B1), claudin-1 and occludin, transferrin receptor 1 (TfR1), receptor tyrosine kinases (RTKs), Niemann-Pick C1-like 1 (NPC1L1) cholesterol uptake receptor and epidermal growth factor receptor [68,69]. E2 is the major HCV envelope protein that directly interacts with these receptor molecules. HCV associates with lipoproteins, forming hybrid particles called lipo-viro-particles (LVP). The first step of HCV entry involves the interaction between LVP-associated ApoE, cell surface heparan sulfate proteoglycans (particularly syndecans 1 and 4) and the LDL receptor. LVP then interacts with SR-B1 via ApoE and ApoB-100. The cholesterol transfer activity of SR-B1 enables E2 exposure and binding to SR-B1 and CD81. Binding to CD81 activates the epidermal growth factor receptor signaling pathway, and the interaction between CD81 and claudin-1 mediates HCV endocytosis. This is followed by low pH-induced fusion between the viral and endosome membranes [78,81,82,83,84,85,86,87,88,89].

7.4. Peptides from the E2 Protein and from Claudin-1 Inhibit Infection at Micromolar Concentrations

Chi et al. [90] identified a peptide from the E2 stem domain named E27 that blocks E1–E2-mediated cell–cell fusion, and inhibits entry of HCV pseudo-particles, as well as infection by cell culture-derived HCV, with an EC50 of 0.73 µM. E27 likely prevents fusion by interfering with E1–E2 dimerization and by inducing conformational changes of the E1–E2 dimer. Better activity was achieved by shortening this peptide from 35 to 29 amino acids. An 18-amino acid peptide derived from the N-terminus of claudin-1 inhibits a late step during viral entry, most likely after the binding step, with an IC50 of 2.1 µM [79]. The peptide, designated as CL58, is not cytotoxic at concentrations about 100-fold higher than the IC50. Slightly shorter peptides have much higher IC50s, and slightly longer peptides have slightly higher IC50s, highlighting the importance of peptide length in the design of inhibitors.

The lipopetide Myrcludex B inhibits hepatitis B virus entry, and the peptides CL58 and E27 inhibit hepatitis C virus fusion.

8. Paramyxovirusess

8.1. The Envelope Protein H Mediates Virion Attachment to the Host Cell Membrane, and the F Protein Carries out the Membrane Fusion Reaction That Involves the Anti-Parallel Alignment of Heptad Repeat Domains

Paramyxoviruses are lipid-enveloped, negative-strand RNA viruses in which the single strand of RNA forms a helical nucleocapsid with the nucleoproteins and is transcribed into positive-strand mRNA by the RNA-dependent RNA polymerase [1,2]. They include the medically important viruses, measles, mumps and respiratory syncytial viruses. The lipid envelope is pleomorphic and incorporates hemagglutinin, H, neuraminidase and the fusion protein, F. The virus also has the nucleoprotein, large protein, P protein and the matrix protein [91]. Paramyxoviruses bind to cell surface receptors including sialic acid, CD46 and CD150. Mumps virus uses α2,3-linked sialic acids in oligosaccharides on lipids or glycoproteins. Clinical isolates of measles virus bind CD150 and the adherens-junction protein, nectin-4, whereas laboratory and vaccine strains use CD46 as their receptors [92].

The H protein mediates attachment to the host cell, and the F protein initiates the membrane fusion reaction after the cleavage of a precursor that exposes the fusion peptide, which is inserted into the host cell membrane [57,93,94], providing an intermediate structure that pulls together the viral and cellular membranes. The two heptad-repeat domains on the F protein fold onto each other and onto the neighboring F proteins in an anti-parallel fashion. The resulting six-helix bundle brings the membranes closer. The formation of this structure can be inhibited by complementary peptides [95], as in the cases of the other viruses described above.

8.2. A Short Peptide Analogous to the N-Terminus of the Cleaved F Protein Can Inhibit Sendai Virus Fusion

The earliest discovery that a peptide could inhibit viral infection was made by Richardson et al. [17]. They found that a peptide with an amino acid sequence similar to that at the N-terminus of the paramyxovirus F1 (carbobenzoxy-D-Phe-L-Phe-Gly) inhibits viral replication. It also inhibits the fusion of the paramyxovirus, Sendai virus, with liposomes [96]. The inhibitory mechanism has been correlated with the inhibition of the bilayer-to-hexagonal II phase transition of a species of phosphatidylethanolamine [97]. Whether this potential mechanism of inhibition is relevant to actual viral membrane fusion is not known.

Rapaport et al. [98] found that a peptide corresponding to the Sendai virus F protein heptad repeat closest to the viral membrane inhibits its fusion with erythrocytes. Peptides derived from the paramyxovirus F1 protein, with amino acid sequences similar to that of peptide inhibitors of HIV-1 (DP-107 and DP-178 (T-20)), have antiviral activity, blocking syncytium formation by respiratory syncytial virus, human parainfluenza virus type 3 and measles virus, with EC50s between 15 and 250 nM [99]. Synthetic peptides of 34 amino acids corresponding to the heptad repeat domains of the F proteins of human parainfluenza virus type 2 and type 3 proximal to the transmembrane segment of the protein inhibit syncytium formation by these viruses at EC50 of 2.1 µM and 1.2 µM, respectively, and inhibit viral entry [100].

8.3. The Peptides HRC4 and HRC2 Derived from the Measles Virus F-Protein C-Terminal Heptad Repeat Region Inhibit Measles Virus Infection at Nanomolar Concentrations

Dimer peptides corresponding to the measles virus F-protein C-terminal heptad repeat region inhibit measles virus infection at IC50 values in the range 1–2 nM (for peptides HRC4 and HRC2) when coupled to cholesterol that presumably enables insertion of the conjugate into the cell plasma membrane. HRC4-cholesterol prevents measles virus-induced death in a murine model when administered intranasally at a dose of 6 mg/kg, 24 h before infection [101]. When peptides are coupled to lipids, they can self-assemble into micellar nanoparticles and can partition into cell membranes [102]. Membrane-localized peptides can interact more effectively with the viral heptad repeat regions compared to plain peptides [103]. Cholesterol-derivatized HRC peptides inhibit the entry of parainfluenza virus type 3 into CV1 cells at an IC50 of about 7 nM, whereas plain peptides have a 100-fold higher IC50 [104]. The highest antiviral activity is achieved when cholesterol is attached to the C-terminus of the peptide, suggesting that the positively charged amino terminus may be involved in the interaction of the peptide with its target in the F protein, or that the anti-parallel orientation of the peptide helix is important for inhibition.

9. Flaviviruses

9.1. The Class II E Protein of Flaviviruses Binds to Phosphatidylserine Receptors on Host Cells, and its Low pH-Induced Conformational Change in Endosomes Mediates the Interaction between Two Domains of the Protein

Dengue, yellow fever and West Nile viruses are flaviviruses that are enveloped, positive-strand RNA viruses that infect their host cells via receptor-mediated endocytosis. The E protein of the viral envelope binds to attachment factors, including glycosaminoglycans on the cell membrane [105]. The TIM and TAM proteins are families of receptors that are involved in the phagocytotic removal of phosphatidylserine-expressing apoptotic cells. These proteins act as receptors for the phosphatidylserine present in the Dengue virus membrane [106,107]. This negatively charged lipid is most likely acquired during viral biosynthesis in the endoplasmic reticulum [108]. The E protein, a class II fusion protein, undergoes a low pH-induced conformational change that mediates the interaction between the stem region and domain II; this change also mediates a transition from dimers to trimers [109,110,111] that initiates the membrane fusion reaction between the virus and the endosome membrane.

9.2. Peptides Derived from the E Protein Stem Helix 2 Inhibit Infection of Japanese Encephalitis Virus at Nanomolar IC50

Costin et al. [112] designed peptides that interact with the E protein of Dengue virus and inhibit viral infection in culture (Table 7). They used high-resolution structural information for the dimeric form of the E protein, and computational optimization of binding. The peptides DN57opt and 1OAN1 have IC50s of 8 µM and 7 µM, respectively, inhibit virus binding to cells, and bind directly to the E protein. Chen et al. [111] investigated the ability of peptides derived from the E protein stem helix 2 of Japanese encephalitis virus to inhibit infection. These peptides inhibit infection at nanomolar IC50s. The peptide P5 prevents tissue pathology, decreases the viral load in an animal model, and inhibits lethality. P5 also inhibits Zika virus infection at micromolar IC50 and prevents histopathological damage in the brains of infected mice.

Table 7.

Peptide inhibitors of flavivirus virus fusion *.

Peptide Target Experimental System Reference
DN57opt Dengue virus E protein Virus binding [112]
1OAN1 Dengue virus E protein Virus binding [112]
P5 JEV receptor Virus infection; tissue pathology [111]

* Abbreviation: JEV, Japanese encephalitis virus.

10. Herpesviruses

10.1. Herpesviruses Utilize a Complex Set of Membrane Proteins to Eventually Activate the gB Protein, which Mediates Membrane Fusion by Inserting into the Host Cell Membrane and Changing Conformation

Herpesviruses are enveloped, double-stranded DNA viruses with an icosahedral nucleocapsid [2]. They bind to specific receptors on the surface of host cells, including heparan sulfate and the intercellular adhesion molecule, nectin-1. The heterodimeric viral membrane proteins gH–gL and the protein gB that mediates membrane fusion are required for the cellular entry of the different herpesviruses [113,114]. The tropism of these viruses, however, is determined by specific sets of viral glycoproteins, whose conformational changes upon binding to cellular receptors appear to activate the Class III fusion protein gB [115] to initiate membrane fusion. In the case of herpes simplex virus type 1 (HSV-1), the gD binds to cell surface receptors, and then interacts with the gH–gL heterodimer, which in turn activates gB [116]. A segment of gB inserts into the host cell membrane, and folds back on itself to cause the viral and cellular membranes to come together. Several folded gB trimers result in the formation of a fusion pore [113]. Epstein–Barr virus binding to B cells is mediated by the glycoprotein gp42, which interacts with gH–gL, and the interaction of the resulting trimeric complex with the receptor triggers gB to effect fusion. For entry into epithelial cells, however, Epstein–Barr virus utilizes gH–gL to bind directly to the receptor, thereby activating gB [113].

10.2. Peptides It1b and MelN4 Designed to Have Membrane “Interfacial Activity” Inhibit HSV-1 Infection at Low Micromolar Concentrations

The glycoproteins gB and gH of HSV-1 have heptad repeat sequences predicted to form α-helical coiled coils [117,118]. Peptides corresponding to the coiled-coil domain of gH and gB inhibit viral infection, but at very high doses (e.g., 65% inhibition at 500 µM) [119]. Peptides analogous to the hydrophobic, membrane-interactive segments of gH (“fusion peptides”) inhibit viral plaque formation, with an IC50 of 160 µM for gH493-512 and 60 µM for gH626–644. It was suggested that the inhibitory effect may be the result of peptide association with the “fusion peptide“ of gH [120]. The rather high inhibitory concentrations of these peptides may be attributable to the subsequent observations that it is the gB protein that mediates membrane fusion. Certain peptides designed de novo for having interfacial activity (i.e., interacting with the interfacial region of lipid bilayers) can inhibit HSV-1 infectivity; for example, the peptide It1b has an IC50 of <2 µM, and MelN4 has an IC50 of ~3 µM [121] (Table 8).

Table 8.

Peptide inhibitors of herpes virus fusion *.

Peptide Target Experimental System Reference
It1b HSV-1 membrane Virus infection [121]
MelN4 HSV-1 membrane Virus infection [121]
gBh1m-Cys-PEG24-Chol HSV-1 gB protein Viral cytotoxicity [115]

* Abbreviation: HSV-1, herpes simplex virus type 1.

10.3. The Peptide gBh1m Corresponding to the N-terminal Domain of the Coiled-Coil Structure of gB and Modified with Poly(ethylene glycol) and Cholesterol Inhibits HSV-1 Infection

The Galdiero laboratory started with a peptide (gBh1m) based on the N-terminal region of the coiled coil that may be able to arrest gB in its pre-fusogenic state [119], and modified it by conjugating 12-mer or 24-mer poly(ethylene glycol) and cholesterol to either end of the peptide [115]. The peptide gBh1m-Cys-PEG24-Chol modified at the C-terminus appeared to be the most effective among the reagents with different molecular arrangements, having an IC50 of approximately 8 µM, when the peptide was added to the culture at the time of infection. This peptide also had the highest “selectivity index”, defined as the ratio of the 50% cytotoxic concentration (CC50) to the IC50.

The relatively high concentrations of the peptides designed against herpesvirus fusion compared to those for HIV-1 and coronaviruses is most likely related to the rather complex structure of the Class III fusion protein of herpesviruses [113,114,122].

11. Filoviruses

11.1. The Ebola Virus Membrane Protein GP1 Is Cleaved in Endosomes and the Cleaved Form GPcl Binds the Cholesterol Transporter Niemann-Pick C1

Filoviruses are filamentous, enveloped, negative-strand RNA viruses, and include Marburg and Ebola viruses [2]. Ebola virus attaches to the TIM and TAM family of phosphatidylserine receptors that interact with this lipid in the viral membrane, and lectins that bind the viral glycoprotein GP [123,124]. The latter comprises GP1, the receptor-binding subunit, and GP2, the fusion subunit. Following internalization of the virus by macropinocytosis, and possibly by clathrin- or caveolin-mediated endocytosis [123,125], GP1 is cleaved by cathepsins B and L in endosomes, and the cleaved form (GPcl) binds the endosomal cholesterol transporter protein, Niemann-Pick C1. This interaction, however, does not appear to be sufficient to induce membrane fusion [124]. In a cell–cell fusion model, mildly acidic pH was found not to be the trigger for membrane fusion [126].

11.2. Conjugation of the HIV-1 Tat Peptide to an Ebola Virus CHR Peptide Mediates Endosome Localization and Enhances Antiviral Activity

Fusion of the Ebola virus with cellular membranes is likely to be facilitated by conformational changes of GP2, resulting in the six-helix bundle structure involving the heptad repeats near the N-terminus (NHR) and that near the C-terminus (CHR) of the protein. Since C-peptides corresponding to the CHR have very low antiviral activity, Miller et al. [127] attached the peptide to the arginine-rich (hence, positively charged) sequence from the HIV-1 Tat protein. This conjugate (Tat-Ebo) specifically inhibited viral entry mediated by the GP protein (with an IC50 of about 30 µM) and Ebola virus infection (with an IC50 of about 20 µM), possibly resulting from the accumulation of the peptide conjugate in endosomes (Table 9).

Table 9.

Peptide inhibitors of filovirus fusion *.

Peptide Target Experimental System Reference
Tat-Ebo EV GP2 protein Pseudo-virus and virus infection [127]
RVFV-6 EV GP2 protein, EV membrane Virus infection [128]
Pep-3.2 EV GPcl EV-GP pseudo-virus [129]
Pep-3.3 EV GPcl EV-GP pseudo-virus [129]

* Abbreviation: EV, Ebola virus type; GPcl, cleaved GP protein of Ebola virus.

11.3. Peptides Can Have Inhibitory Effects across Virus Families

A peptide (RVFV-6) based on the stem region of the Rift Valley fever virus fusion glycoprotein, Gc, inhibits not only infection by this virus, but also Ebola virus infection in Vero E6 cells, with an IC50 of 11 µM [128]. The peptide is thought to interact with both the viral and cellular membranes, and then binds specifically to the Gc that undergoes a conformational change at low pH in the endosomes. C-peptides conjugated to cholesterol inhibit Ebola virus glycoprotein-mediated infection of pseudo-typed vesicular stomatitis virus, with an IC50 of about 6 µM, and reduce infection by three orders of magnitude at 40 µM. The observation that these peptides also inhibit fusion by vesicular stomatitis virus glycoprotein G protein indicate that the action of the peptides is not specific to Ebola virus fusion.

11.4. Cyclic Peptides That Bind GPcl Can Inhibit Infection by a Pseudotyped Virus

Li et al. [129] used docking and molecular dynamic simulations to design cyclic peptides that could bind the cleaved Ebola virus protein GPcl at the site that interacts with the Niemann-Pick C1 protein, based on the crystal structure of the two interacting proteins. The most effective of these peptides is Pep-3.3, which inhibits infection by GP-pseudo-typed HIV-1 at an IC50 of 5.1 μM.

Despite the very high mortality rate of Ebola virus infection, it is disappointing that the experimental peptides have not progressed to clinical trials, or emergency use.

12. Protein Design Methods to Target Protein Interfaces

Peptide-mediated interactions between proteins is a common mechanism, accounting for up to 40% of the protein interactions in cells [130]. More broadly and in the context of protein–protein interfaces, peptides represent an important tool to modulate interactions as there is a growing perception that traditional low molecular weight, drug-like chemical compounds are not well suited to target protein interfaces, given their size [131]. Peptides present a number of advantages that make them the more natural candidates to target protein interfaces [132], with over 60 peptide therapeutics on the market, and several hundred in preclinical and clinical development [133].

Computational approaches can aid in the discovery and design of peptide ligands to target protein interfaces. These will be briefly presented in this section, together with a more detailed description of a method published earlier [134]. This method was applied to the S spike protein of SARS-CoV-2 to derive a repository of peptides to target the interaction with the human angiotensin-converting enzyme 2 receptor. The repository is termed the PepI-Covid19 database (http://bioinsilico.org/pepicovid19, accessed on 1 December 2021) [135]. There are two basic approaches to design peptides, depending on the information required:

(1) Methods based on the primary structure of proteins, i.e., the sequences; and

(2) Those based on the three-dimensional structure of the proteins.

13. Sequence-Based Methods

13.1. Relying on the Primary Sequence of Proteins, Synthesized Peptides Can Mimic the Key Contacts between Interacting Proteins and Inhibit Their Normal Functions

These methods rely on the primary sequence of proteins to design peptides. A common approach relies on the mimicry of one of the partners in a given protein–protein interaction. The idea behind this is rather simple and involves the identification of short stretches of residues on either of the interacting protein partners that, once synthesized as peptides, will act as a surrogate by mimicking the key contacts between partners, and therefore impinging upon the normal interaction of the full proteins. This approach presents a number of limitations where perhaps the most important is to assume that the isolated peptide will retain the same conformation as when it is part of the protein. Additionally, given the fact that the only information used is the sequence, the uncertainty with regards to the context and specific location of the putative interacting peptides is very high. Nonetheless, this method has been pursued and used successfully to identify peptides to modulate, among others, the interactions between protein kinases and their substrates [136,137], the inhibition of beta-APP-cleaving enzyme-1, an important target in Alzheimer’s disease [138], the inhibition of G-protein-coupled receptors [139], the inhibition of integrins using derivatives and constrained (cyclic) peptides presenting the conserved Arg-Gly-Asp motif or the interactions between viral interleukin-6 and the gp130 receptor [140], among others [141] (see the review by Rubinstein and Niv [142] for more details). Examples were presented earlier in this review where the peptides were derived from particular regions of the proteins, like Enfuvirtide derived from the CHR domain of gp41, which inhibits the fusion of HIV and the host cell plasma membrane [23,24,143]. Using the sequence method, we designed a peptide that competes with and disrupts the aggregation of β-amyloids [144].

13.2. Large-Scale Peptide Screening, Utilizing Phage-Display, mRNA or DNA-Encoded Libraries, Can Generate Inhibitory Molecules following Large-Scale Screening

The discovery of inhibitory peptides can also be approached using large-scale peptide screening. This approach is slightly different and relies on the high-throughput synthesis of peptide libraries that are subsequently used to probe the protein of interest. Peptide libraries can be constructed using phage-display [145], mRNA [146] or DNA-encoded libraries [147], bead-based libraries [148,149] or peptide arrays [150]. The sequences sampled by these libraries can be totally random or biased toward a specific size and/or amino acid composition, depending on the information available. Their diversity ranges from 108 to 1013 combinations; so, the downstream processing of screening is important to identify binders through affinity selection and mass spectrometry [151]. Indeed, the necessity of a scalable downstream assay to assess the bioactivity of the peptides is a central and, often, the most difficult and challenging aspect of designing therapeutic peptides. The size of the peptides in these libraries is often predetermined and can result in the discovery of not only the recapitulation of variants of native ligands, but also, and more importantly, the discovery of novel sequences that are not similar to the native ligands and/or interface regions. Examples of large-scale screening identifying protein–protein inhibitors include the targeting of the interaction between p53-MDM2 and MDMX complexes [151], 14-3-3-mediated interactions [152] and protein kinase B-Akt interactions [153]. Finally, the advent of “omics” technologies, and more precisely genomics, transcriptomics and peptidomics, has allowed for the discovery of novel peptide sequences to modulate protein interactions [154,155]. Instead of relying on the discovery of peptides based on de novo synthesis, these approaches identify potential peptide ligands from the mining of sequences from natural repertoires. While these methods do not require the generation of libraries of variants, they share with the de novo discovery methods the same challenges of high-throughput synthesis and downstream screening.

Clearly, sequence-based identification of peptides is a very useful method in generating inhibitory molecules to a first approximation.

14. Structure-Based Methods

14.1. The Precise Structural Information of the Target Protein or Protein Complex Can Be Used in Modeling and Designing Inhibitory Peptides

The structure of proteins and/or protein complexes provides extremely valuable information for the design of peptides. On the one hand, the structure of a protein complex defines very precisely the structural features of the protein interface(s). On the other hand, it allows for the identification of the structural determinants and dominant secondary structure elements, e.g., α-helix, driving the interactions between partners. This information is then included in the modeling and designing of the peptides. The main positive aspect of these methods is, therefore, the precise structural information of the target protein or protein complex that can be fed into the modeling and designing process of the peptides. The negative aspect is, of course, the fact that obtaining the three-dimensional structure of proteins or protein complexes is far from trivial; thus, the range of applicability of these methods is restricted.

14.2. Chemical Modifications of the Peptides, including Carbon-Stapling and Peptide Cyclization, Can Preserve Their Structural Integrity

Analogous to the sequence-based method that relies on the use of residue stretches to identify decoys of the protein interfaces, the structure of the protein complex enables the precise designation of the regions of the protein sequence that can play an important role in the interaction. Once the region of interest is identified, the peptide can be synthesized, and the inhibitory properties assessed. More important, however, as the structure of the fragment is known, it is possible to design chemical modifications, including carbon-stapling [156] or peptide cyclization [157], to ensure the structural integrity of isolated peptides, as it is not guaranteed that the conformation of the fragment will be preserved once isolated from the protein, i.e., as a peptide. Some examples are the stapling of the α-helix central to the interaction between NoxA and MCL-1 [158], and the cyclic peptide derived from a loop region mediating the interaction between the human 14-4-3-zeta protein and the virulence factor exoenzyme S of Pseudomonas aeruginosa [159]. Finally, the structure of the complex also facilitates the identification of the regions that contribute the most to the interactions, either at the residue level (so-called hot spots) [160] or stretches [161], with information that can be used to guide the selection of putative binders.

In terms of targeting protein interfaces using structure-based-designed peptides, there is a wide range of methodologies. Among those are the de novo methods. Such approaches include the design of peptides by iterative growth from an initial position [162] or guiding the growth of the peptide from disemboweled interface residues [163]. Other approaches have been proposed to design peptides based on the linking of fixed elements in the interface with residues [164], property-guided searches [165], ‘docking and linking’ of fragments [166] or optimization [167], including a fast and enhanced search based on ant colony heuristic optimization [168]. A different set of approaches relies on the docking of peptides to a given interface in a dock-and-fold manner [169,170].

15. PiPRED: A Knowledge- and Structure-Based Method

15.1. The Natural Behavior of Peptide Sequences Can Be Utilized to Design Bioactive Peptides

A different take on modeling and design of peptides based on structure, compared to the de novo approaches described above, is the one utilizing the natural repertoires of peptide conformations, also known as the “knowledge-based” Method. There are advantages of the knowledge-based methods compared to de novo methods: they are less computing intensive, exploiting the natural repertoire of peptide sequences, which has been proven to increase the probability of identifying bioactive peptides [171], as well as not being conformationally biased, and being sequence independent; i.e., there is no need for initial sequence information upon which to model and design peptides.

15.2. The Entire Peptide–Protein Interface Is Systematically Explored during Modeling in a Knowledge-Based Approach to Find the Optimal Conformations

PiPreD is an example of a knowledge-based approach to modeling and designing peptides [134]. It relies on a library of structural fragments: iMotifs-DB, extracted from the structure of protein–protein or protein–peptide complexes. Besides exploiting the natural repertoire of structural motifs, PiPreD incorporates native elements of the interface with the targets by using disembodied interface residues, called “anchor residues”. During the modeling stage, the entire interface is systematically and comprehensively explored to find suitable conformations in iMotifs-DB, maximizing the number of anchor residues surrogated by modelled peptides. The modeling stage is totally unbiased, and, therefore, neither the preferred conformation of the peptides nor specific regions or the interface are predetermined. PiPreD has been applied successfully to derive peptides to target RAS-mediated interactions [172] and the Fn14-TWEAK complex [173], and to generate a repertoire of peptide inhibitors of the spike protein, S, of SARS-CoV-2 (vide infra). PiPreD can be downloaded from http://www.bioinsilico.org/PIPRED or accessed as a web-server at http://galaxy.interactomix.com/tool_runner?tool_id=interactomix_pipred accessed on 1 December 2021).

The PiPreD approach is likely to be applied successfully to the design of peptide inhibitors of viral fusion proteins.

16. PePI-Covid19 Database: A Repertoire of Peptides to Target SARS-CoV-2 Binding to ACE2

16.1. Macromolecules such as the Soluble ACE2 Receptor for SARS-CoV-2, Computationally Modified ACE2, Mini-Proteins and Aptamers Can Inhibit Viral Infection

The interaction between S and its cellular receptor, ACE2, is key in the infectious cell entry of SARS-CoV-2 [174,175]. The receptor-binding domain (RBD) of the spike protein recognizes the ACE2 receptor with a high affinity; therefore, blocking this interaction is a therapeutic avenue to fight the disease. Indeed, several recent studies have shown that targeting the RBD with soluble ACE2 [176], including computationally modified ACE2 [177], mini-proteins [178], neutralizing antibodies [179,180,181], nanobodies [182] and aptamers [183,184], can prevent infection. In the same manner, peptides can also contribute to the armory of reagents to fight SARS-CoV-2, as shown by the discovery of potent fusion inhibitors [49], or peptides derived from the N-terminus region of ACE2 [185].

16.2. The PePI-Covid19 Database Was Established Based on the PiPreD Method to Design Peptides That Target the Receptor-Binding Region of the S Protein

The PePI-Covid19 database [135] represents yet one more effort in the direction of finding novel peptides to block a key process in the invasion of cells by SARS-CoV-2. Since the start of the COVID-19 pandemic, several structures of protein complexes involving ACE2 and RBD [175,186], as well as monoclonal antibodies [179,180] and nanobodies [182] have become available. We leveraged the structural data to design peptides to target the interaction between the RBD of SARS-CoV-2 and ACE2, and SARS-CoV and ACE2, as contrasting examples, as well as the dimerization surface of ACE2 monomers. The peptides were modelled using the PiPreD method described above, and they recapitulate stretches of residues present in the native interface, plus novel and highly diverse conformations surrogating key interactions at the interface. These peptides are freely available through a dedicated web-based repository, the PepI-Covid19 database (http://bioinsilico.org/pepicovid19, accessed on 1 December 2021), providing convenient access to this wealth of information to the scientific community with the view of maximizing its potential impact in the development of novel therapeutic and diagnostic agents. These peptides are being tested currently in our laboratories.

The PePI-Covid19 database provides a range of peptides that may inhibit SARS-CoV-2 binding to its cellular receptor.

17. Concluding Remarks

One of the common mechanisms employed by certain viral fusion proteins, the formation of the six-helix bundle, has been exploited in the development of numerous peptide inhibitors that interfere with the formation of this structure. The localization of the peptide inhibitors in the vicinity of the fusion reaction by the addition of a lipid moiety to the peptide appears to further enhance the inhibitory activity. Lipid conjugation may also facilitate the co-endocytosis of the peptides and viruses whose fusion takes place after endocytosis. Computational approaches are used in the design of peptides to target protein interfaces involved in viral membrane fusion. Peptide design methods are based either on the primary structure of proteins or the three-dimensional structure of the proteins. It will be of great interest to apply these methods to develop inhibitors of the fusion of SARS-CoV-2 with cellular membranes. Indeed, peptides can complement existing strategies in the quest for finding novel therapeutic agents to fight COVID-19, including those exploiting the use of more traditional drug entities (i.e., small chemicals) or macro drugs (e.g., monoclonal antibodies, nanobodies or mini proteins). The peptides may have to be further modified to confer resistance to peptidases and to prolong the availability of these inhibitors in the circulation and the lungs. Future research should also be directed towards the delivery of the therapeutic peptides to the sites of viral infection. Many viral infections are transmitted via the respiratory route, including SARS-CoV-2 and the influenza virus. Thus, the delivery by inhalation of free peptides or peptides anchored in liposomal membranes may be an efficient method to reach sites of initial infection [187].

Acknowledgments

Support was received from the Biotechnology and Biological Science Research Council (BBS/E/W/0012843D) and Welsh Government under the Ser Cymru III Tackling COVID program (WG#009). This work was also supported by a Biomedical Sciences Pilot Grant from the University of the Pacific, Arthur A. Dugoni School of Dentistry.

Author Contributions

All the authors conceived of, wrote and edited the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

Biotechnology and Biological Science Research Council (BBS/E/W/0012843D); Welsh Government under the Ser Cymru III Tackling COVID program (WG#009); Biomedical Sciences Pilot Grant, University of the Pacific, Arthur A. Dugoni School of Dentistry.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare that they have no conflicts of interest regarding the material covered in this review article.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Strauss J.H., Strauss E.G. Viruses and Human Disease. Elsevier; Amsterdam, The Netherlands: Academic Press; Burlington, NJ, USA: San Diego, CA, USA: London, UK: 2008. p. vii+468. [Google Scholar]
  • 2.Düzgüneş N. Medical Microbiology and Immunology for Dentistry. Quintessence Publishing; Chicago, IL, USA: 2016. p. ix+293. [Google Scholar]
  • 3.Schibli D.J., Weissenhorn W. Class I and class II viral fusion protein structures reveal similar principles in membrane fusion. Mol. Membr. Biol. 2004;21:361–371. doi: 10.1080/09687860400017784. [DOI] [PubMed] [Google Scholar]
  • 4.Weissenhorn W., Hinz A., Gaudin Y. Virus membrane fusion. FEBS Lett. 2007;581:2150–2155. doi: 10.1016/j.febslet.2007.01.093. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Backovic M., Jardetzky T.S. Class III viral membrane fusion proteins. Curr. Opin. Struct. Biol. 2009;19:189–196. doi: 10.1016/j.sbi.2009.02.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Limburg H., Harbig A., Bestle D., Stein D.A., Moulton H.M., Jaeger J., Janga H., Hardes K., Koepke J., Schulte L., et al. TMPRSS2 is the major activating protease of influenza A virus in primary human airway cells and influenza B virus in human type II pneumocytes. J. Virol. 2019;93:e00649-19. doi: 10.1128/JVI.00649-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Copeland C.S., Doms R.W., Bolzau E.M., Webster R.G., Helenius A. Assembly of influenza hemagglutinin trimers and its role in intracellular transport. J. Cell Biol. 1986;103:1179–1191. doi: 10.1083/jcb.103.4.1179. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Heinz F.X., Allison S.L. The machinery for flavivirus fusion with host cell membranes. Curr. Opin. Microbiol. 2001;4:450–455. doi: 10.1016/S1369-5274(00)00234-4. [DOI] [PubMed] [Google Scholar]
  • 9.Stiasny K., Heinz F.X. Flavivirus membrane fusion. J. Gen. Virol. 2006;87:2755–2766. doi: 10.1099/vir.0.82210-0. [DOI] [PubMed] [Google Scholar]
  • 10.Kielian M., Rey F.A. Virus membrane-fusion proteins: More than one way to make a hairpin. Nat. Rev. Microbiol. 2006;4:67–76. doi: 10.1038/nrmicro1326. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Modis Y. Class II fusion proteins. Adv. Exp. Med. Biol. 2013;790:150–166. doi: 10.1007/978-1-4614-7651-1_8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Baquero E., Albertini A.A., Gaudin Y. Recent mechanistic and structural insights on class III viral fusion glycoproteins. Curr. Opin. Struct. Biol. 2015;33:52–60. doi: 10.1016/j.sbi.2015.07.011. [DOI] [PubMed] [Google Scholar]
  • 13.Nicola A.V. Herpesvirus entry into host cells mediated by endosomal low pH. Traffic. 2016;17:965–975. doi: 10.1111/tra.12408. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Wang Q., Finzi A., Sodroski J. The conformational states of the HIV-1 envelope glycoproteins. Trends Microbiol. 2020;28:655–667. doi: 10.1016/j.tim.2020.03.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Ma X., Lu M., Gorman J., Terry D.S., Hong X., Zhou Z., Zhao H., Altman R.B., Arthos J., Blanchard S.C., et al. HIV-1 Env trimer opens through an asymmetric intermediate in which individual protomers adopt distinct conformations. eLife. 2018;7:e34271. doi: 10.7554/eLife.34271. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Howard A.R., Munro J.B. Developments in single-molecule and single-particle fluorescence-based approaches for studying viral envelope glycoprotein dynamics and membrane fusion. Adv. Virus Res. 2019;104:123–146. doi: 10.1016/bs.aivir.2019.05.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Richardson C.D., Scheid A., Choppin P.W. Specific inhibition of paramyxovirus and myxovirus replication by oligopeptides with amino acid sequences similar to those at the N-termini of the F1 or HA2 viral polypeptides. Virology. 1980;105:205–222. doi: 10.1016/0042-6822(80)90168-3. [DOI] [PubMed] [Google Scholar]
  • 18.Konopka K., Pretzer E., Düzgüneş N. Differential effects of a hydrophobic tripeptide on human immunodeficiency virus type 1 (HIV-1)-induced syncytium formation and viral infectivity. Biochem. Biophys. Res. Commun. 1995;208:75–81. doi: 10.1006/bbrc.1995.1307. [DOI] [PubMed] [Google Scholar]
  • 19.Owens R.J., Tanner C.C., Mulligan M.J., Srinivas R.V., Compans R.W. Oligopeptide inhibitors of HIV-induced syncytium formation. AIDS Res. Hum. Retrovir. 1990;1990 6:1289–1296. doi: 10.1089/aid.1990.6.1289. [DOI] [PubMed] [Google Scholar]
  • 20.Nara P.L., Hwang K.M., Rausch D.M., Lifson J.D., Eiden L.E. CD4 antigen-based antireceptor peptides inhibit infectivity of human immunodeficiency virus in vitro at multiple stages of the viral life cycle. Proc. Natl. Acad. Sci. USA. 1989;86:7139–7143. doi: 10.1073/pnas.86.18.7139. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Slepushkin V.A., Salem I.I., Andreev S.M., Dazin P., Düzgüneş N. Targeting of liposomes to HIV-1-infected cells by peptides derived from the CD4 receptor. Biochem. Biophys. Res. Commun. 1996;227:827–833. doi: 10.1006/bbrc.1996.1592. [DOI] [PubMed] [Google Scholar]
  • 22.Benjouad A., Chapuis F., Fenouillet E., Gluckman J.C. Multibranched peptide constructs derived from the V3 loop of envelope glycoprotein gp120 inhibit human immunodeficiency virus type 1 infection through interaction with CD4. Virology. 1995;206:457–464. doi: 10.1016/S0042-6822(95)80061-1. [DOI] [PubMed] [Google Scholar]
  • 23.Wild C.T., Shugars D.C., Greenwell T.K., McDanal C.B., Matthews T.J. Peptides corresponding to a predictive alpha-helical domain of human immunodeficiency virus type 1 gp41 are potent inhibitors of virus infection. Proc. Natl. Acad. Sci. USA. 1994;91:9770–9774. doi: 10.1073/pnas.91.21.9770. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Chen C.H., Matthews T.J., McDanal C.B., Bolognesi D.P., Greenberg M.L. A molecular clasp in the human immunodeficiency virus (HIV) type 1 TM protein determines the anti-HIV activity of gp41 derivatives: Implication for viral fusion. J. Virol. 1995;69:3771–3777. doi: 10.1128/jvi.69.6.3771-3777.1995. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Wang C., Cheng S., Zhang Y., Ding Y., Chong H., Xing H., Jiang S., Li X., Ma L. long-acting HIV-1 fusion inhibitory peptides and their mechanisms of action. Viruses. 2019;11:811. doi: 10.3390/v11090811. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Ingallinella P., Bianchi E., Ladwa N.A., Wang Y.-J., Hrin R., Veneziano M., Bonelli F., Ketas T.J., Moore J.P., Miller M.D., et al. Addition of a cholesterol group to an HIV-1 peptide fusion inhibitor dramatically increases its antiviral potency. Proc. Natl. Acad. Sci. USA. 2009;106:5801–5806. doi: 10.1073/pnas.0901007106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Welch B.D., Francis J.N., Redman J.S., Paul S., Weinstock M.T., Reeves J.D., Lie Y.S., Whitby F.G., Eckert D.M., Hill C.P. Design of a potent D-peptide HIV-1 entry inhibitor with a strong barrier to resistance. J. Virol. 2010;84:11235–11244. doi: 10.1128/JVI.01339-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Parry D.A. Coiled-coils in alpha-helix-containing proteins: Analysis of the residue types within the heptad repeat and the use of these data in the prediction of coiled-coils in other proteins. Biosci. Rep. 1982;1982 2:1017–1024. doi: 10.1007/BF01122170. [DOI] [PubMed] [Google Scholar]
  • 29.Xu Y., Lou Z., Liu Y., Pang H., Tien P., Gao G.F., Rao Z. Crystal structure of severe acute respiratory syndrome coronavirus spike protein fusion core. J. Biol. Chem. 2004;279:49414–49419. doi: 10.1074/jbc.M408782200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Jiang S., Debnath A.K. Development of HIV entry inhibitors targeted to the coiled-coil regions of gp41. Biochem. Biophys. Res. Commun. 2000;269:641–646. doi: 10.1006/bbrc.1999.1972. [DOI] [PubMed] [Google Scholar]
  • 31.Kilby J.M., Hopkins S., Venetta T.M., DiMassimo B., Cloud G.A., Lee J.Y., Alldredge L., Hunter E., Lambert D., Bolognesi D., et al. Potent suppression of HIV-1 replication in humans by T-20, a peptide inhibitor of gp41-mediated virus entry. Nat. Med. 1998;4:1302–1307. doi: 10.1038/3293. [DOI] [PubMed] [Google Scholar]
  • 32.Chan D.C., Fass D., Berger J.M., Kim P.S. Core structure of gp41 from the HIV envelope glycoprotein. Cell. 1997;89:263–273. doi: 10.1016/S0092-8674(00)80205-6. [DOI] [PubMed] [Google Scholar]
  • 33.Gallo S.A., Puri A., Blumenthal R. HIV-1 gp41 six-helix bundle formation occurs rapidly after the engagement of gp120 by CXCR4 in the HIV-1 Env-mediated fusion process. Biochemistry. 2001;40:12231–12236. doi: 10.1021/bi0155596. [DOI] [PubMed] [Google Scholar]
  • 34.Liu S., Lu H., Niu J., Xu Y., Wu S., Jiang S. Different from the HIV fusion inhibitor C34, the anti-HIV drug Fuzeon (T-20) inhibits HIV-1 entry by targeting multiple sites in gp41 and gp120. J. Biol. Chem. 2005;280:11259–11273. doi: 10.1074/jbc.M411141200. [DOI] [PubMed] [Google Scholar]
  • 35.Welch B.D., VanDemark A.P., Heroux A., Hill C.P., Kay M.S. Potent D-peptide inhibitors of HIV-1 entry. Proc. Natl. Acad. Sci. USA. 2007;104:16828–16833. doi: 10.1073/pnas.0708109104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Belouzard S., Millet J.K., Licitra B.N., Whittaker G.R. Mechanisms of coronavirus cell entry mediated by the viral spike protein. Viruses. 2012;4:1011–1033. doi: 10.3390/v4061011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Liu S., Xiao G., Chen Y., He Y., Niu J., Escalante C.R., Xiong H., Farmar J., Debnath A.K., Tien P., et al. Interaction between heptad repeat 1 and 2 regions in spike protein of SARS-associated coronavirus: Implications for virus fusogenic mechanism and identification of fusion inhibitors. Lancet. 2004;363:938–947. doi: 10.1016/S0140-6736(04)15788-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Kliger Y., Levanon E.Y. Cloaked similarity between HIV-1 and SARS-CoV suggests an anti-SARS strategy. BMC Microbiol. 2003;3:20. doi: 10.1186/1471-2180-3-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Zhu J., Xiao G., Xu Y., Yuan F., Zheng C., Liu Y., Yan H., Cole D.K., Bell J.I., Rao Z., et al. Following the rule: Formation of the 6-helix bundle of the fusion core from severe acute respiratory syndrome coronavirus spike protein and identification of potent peptide inhibitors. Biochem. Biophys. Res. Commun. 2004;319:283–288. doi: 10.1016/j.bbrc.2004.04.141. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Yuan K., Yi L., Chen J., Qu X., Qing T., Rao X., Jiang P., Hu J., Xiong Z., Nie Y., et al. Suppression of SARS-CoV entry by peptides corresponding to heptad regions on spike glycoprotein. Biochem. Biophys. Res. Commun. 2004;319:746–752. doi: 10.1016/j.bbrc.2004.05.046. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Bosch B.J., Martina B.E.E., van der Zee R., Lepault J., Haijema B.J., Versluis C., Heck A.J.R., de Groot R., Osterhaus A.D.M.E., Rottier P.J.M. Severe acute respiratory syndrome coronavirus (SARS-CoV) infection inhibition using spike protein heptad repeat-derived peptides. Proc. Natl. Acad. Sci. USA. 2004;101:8455–8460. doi: 10.1073/pnas.0400576101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Liu I.J., Kao C.L., Hsieh S.C., Wey M.T., Kan L.S., Wang W.K. Identification of a minimal peptide derived from heptad repeat (HR) 2 of spike protein of SARS-CoV and combination of HR1-derived peptides as fusion inhibitors. Antivir. Res. 2009;81:82–87. doi: 10.1016/j.antiviral.2008.10.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Ujike M., Nishikawa H., Otaka A., Yamamoto N., Yamamoto N., Matsuoka M., Kodama E., Fujii N., Taguchi F. Heptad repeat-derived peptides block protease-mediated direct entry from the cell surface of severe acute respiratory syndrome coronavirus but not entry via the endosomal pathway. J. Virol. 2008;82:588–592. doi: 10.1128/JVI.01697-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Raj V.S., Mou H., Smits S.L., Dekkers D.H., Müller M.A., Dijkman R., Muth D., Demmers J.A., Zaki A., Fouchier R.A., et al. Dipeptidyl peptidase 4 is a functional receptor for the emerging human coronavirus-EMC. Nature. 2013;495:251–254. doi: 10.1038/nature12005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Barlan A., Zhao J., Sarkar M.K., Li K., McCray P.B., Jr., Perlman S., Gallagher T. Receptor variation and susceptibility to Middle East respiratory syndrome coronavirus infection. J. Virol. 2014;88:4953–4961. doi: 10.1128/JVI.00161-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Lu L., Liu Q., Zhu Y., Chan K.H., Qin L., Li Y., Wang Q., Chan J.F., Du L., Yu F., et al. Structure-based discovery of Middle East respiratory syndrome coronavirus fusion inhibitor. Nat. Commun. 2014;5:3067. doi: 10.1038/ncomms4067. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Channappanavar R., Lu L., Xia S., Du L., Meyerholz D.K., Perlman S., Jiang S. Protective effect of intranasal regimens containing peptidic Middle East respiratory syndrome coronavirus fusion inhibitor against MERS-CoV infection. J. Infect. Dis. 2015;212:1894–1903. doi: 10.1093/infdis/jiv325. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Sun Y., Zhang H., Shi J., Zhang Z., Gong R. Identification of a novel inhibitor against Middle East respiratory syndrome coronavirus. Viruses. 2017;9:255. doi: 10.3390/v9090255. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Xia S., Liu M., Wang C., Xu W., Lan Q., Feng S., Qi F., Bao L., Du L., Liu S., et al. Inhibition of SARS-CoV-2 (previously 2019-nCoV) infection by a highly potent pan-coronavirus fusion inhibitor targeting its spike protein that harbors a high capacity to mediate membrane fusion. Cell Res. 2020;30:343–355. doi: 10.1038/s41422-020-0305-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Outlaw V.K., Bovier F.T., Mears M.C., Cajimat M.N., Zhu Y., Lin M.J., Addetia A., Lieberman N.A.P., Peddu V., Xie X., et al. Inhibition of coronavirus entry in vitro and ex vivo by a lipid-conjugated peptide derived from the SARS-CoV-2 spike glycoprotein HRC domain. mBio. 2020;11:e01935-20. doi: 10.1128/mBio.01935-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Zhu Y., Yu D., Yan H., Chong H., He Y. Design of potent membrane fusion inhibitors against SARS-CoV-2, an emerging coronavirus with high fusogenic activity. J. Virol. 2020;94:e00635-20. doi: 10.1128/JVI.00635-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Bertram S., Glowacka I., Steffen I., Kühl A., Pöhlmann S. Novel insights into proteolytic cleavage of influenza virus hemagglutinin. Rev. Med. Virol. 2010;20:298–310. doi: 10.1002/rmv.657. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Hamilton B.S., Whittaker G.R. Cleavage activation of human-adapted influenza virus subtypes by kallikrein-related peptidases 5 and 12. J. Biol. Chem. 2013;288:17399–17407. doi: 10.1074/jbc.M112.440362. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.White J.M., Wilson I.A. Anti-peptide antibodies detect steps in a protein conformational change: Low-pH activation of the influenza virus hemagglutinin. J. Cell Biol. 1987;105:2887–2896. doi: 10.1083/jcb.105.6.2887. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Stegmann T., Booy F.P., Wilschut J. Effects of low pH on influenza virus. Activation and inactivation of the membrane fusion capacity of the hemagglutinin. J. Biol. Chem. 1987;262:17744–17749. doi: 10.1016/S0021-9258(18)45442-7. [DOI] [PubMed] [Google Scholar]
  • 56.Düzgüneş N., Gambale F. Membrane action of synthetic N-terminal peptides of influenza virus hemagglutinin and its mutants. FEBS Lett. 1988;227:110–114. doi: 10.1016/0014-5793(88)80879-2. [DOI] [PubMed] [Google Scholar]
  • 57.Düzgüneş N., Shavnin S.A. Membrane destabilization by N-terminal peptides of viral envelope proteins. J. Membr. Biol. 1992;128:71–80. doi: 10.1007/BF00231872. [DOI] [PubMed] [Google Scholar]
  • 58.Düzgüneş N., Pedroso de Lima M.C., Stamatatos L., Flasher D., Alford D., Friend D.S., Nir S. Fusion activity and inactivation of influenza virus: Kinetics of low pH-induced fusion with cultured cells. J. Gen. Virol. 1992;73:27–37. doi: 10.1099/0022-1317-73-1-27. [DOI] [PubMed] [Google Scholar]
  • 59.Ramalho-Santos J., Nir S., Düzgüneş N., Pato de Carvalho A., Pedroso de Lima M.C. A common mechanism for influenza virus fusion activity and inactivation. Biochemistry. 1993;32:2771–2779. doi: 10.1021/bi00062a006. [DOI] [PubMed] [Google Scholar]
  • 60.Matsubara T., Onishi A., Saito T., Shimada A., Inoue H., Taki T., Nagata K., Okahata Y., Sato T. Sialic acid-mimic peptides as hemagglutinin inhibitors for anti-influenza therapy. J. Med. Chem. 2010;53:4441–4449. doi: 10.1021/jm1002183. [DOI] [PubMed] [Google Scholar]
  • 61.Jones J.C., Turpin E.A., Bultmann. H., Brandt C.R., Schultz-Cherry S. Inhibition of influenza virus infection by a novel antiviral peptide that targets viral attachment to cells. J. Virol. 2006;80:11960–11967. doi: 10.1128/JVI.01678-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Perrier A., Eluard M., Petitjean M., Vanet A. In silico design of new inhibitors against hemagglutinin of influenza. J. Phys. Chem. B. 2019;123:582–592. doi: 10.1021/acs.jpcb.8b10767. [DOI] [PubMed] [Google Scholar]
  • 63.Lee K.K., Pessi A., Gui L., Santoprete A., Talekar A., Moscona A., Porotto M. Capturing a fusion intermediate of influenza hemagglutinin with a cholesterol-conjugated peptide, a new antiviral strategy for influenza virus. J. Biol. Chem. 2011;286:42141–42149. doi: 10.1074/jbc.M111.254243. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Figueira T.N., Augusto M.T., Rybkina K., Stelitano D., Noval M.G., Harder O.E., Veiga A.S., Huey D., Alabi C.A., Biswas S., et al. Effective in vivo targeting of influenza virus through a cell-penetrating/fusion inhibitor tandem peptide anchored to the plasma membrane. Bioconjug. Chem. 2018;29:3362–3376. doi: 10.1021/acs.bioconjchem.8b00527. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Hipolito C.J., Suga H. Ribosomal production and in vitro selection of natural product-like peptidomimetics: The FIT and RaPID systems. Curr. Opin. Chem. Biol. 2012;16:196–203. doi: 10.1016/j.cbpa.2012.02.014. [DOI] [PubMed] [Google Scholar]
  • 66.Saito M., Itoh Y., Yasui F., Munakata T., Yamane D., Ozawa M., Ito R., Katoh T., Ishigaki H., Nakayama M. Macrocyclic peptides exhibit antiviral effects against influenza virus HA and prevent pneumonia in animal models. Nat. Commun. 2021;12:2654. doi: 10.1038/s41467-021-22964-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Kadam R.U., Juraszek J., Brandenburg B., Buyck C., Schepens W.B.G., Kesteleyn B., Stoops B., Vreeken R.J., Vermond J., Goutier W., et al. Potent peptidic fusion inhibitors of influenza virus. Science. 2017;358:496–502. doi: 10.1126/science.aan0516. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Glebe D., Urban S., Knoop E.V., Çaǧ N., Krass P., Grün S., Bulavaite A., Sasnauskas K., Gerlich W.H. Mapping of the hepatitis B virus attachment site by use of infection-inhibiting preS1 lipopeptides and Tupaia hepatocytes. Gastroenterology. 2005;129:234–245. doi: 10.1053/j.gastro.2005.03.090. [DOI] [PubMed] [Google Scholar]
  • 69.Persing D.H., Varmus H.E., Ganem D. The pre-S1 protein of hepatitis B virus is acylated at its amino terminus with myristic acid. J. Virol. 1987;61:1672–1677. doi: 10.1128/jvi.61.5.1672-1677.1987. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Gripon P., Le Seyec J., Rumin S., Guguen-Guillouzo C. Myristylation of the hepatitis B virus large surface protein is essential for viral infectivity. Virology. 1995;213:292–299. doi: 10.1006/viro.1995.0002. [DOI] [PubMed] [Google Scholar]
  • 71.Yan H., Zhong G., Xu G., He W., Jing Z., Gao Z., Huang Y., Qi Y., Peng B., Wang H., et al. Sodium taurocholate cotransporting polypeptide is a functional receptor for human hepatitis B and D virus. eLife. 2012;1:e00049. doi: 10.7554/eLife.00049. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Gripon P., Rumin S., Urban S., Le Seyec J., Glaise D., Cannie I., Guyomard C., Lucas J., Trepo C., Guguen-Guillouzo C. Infection of a human hepatoma cell line by hepatitis B virus. Proc. Natl. Acad. Sci. USA. 2002;99:15655–15660. doi: 10.1073/pnas.232137699. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Gripon P., Cannie I., Urban S. Efficient inhibition of hepatitis B virus infection by acylated peptides derived from the large viral surface protein. J. Virol. 2005;79:1613–1622. doi: 10.1128/JVI.79.3.1613-1622.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Petersen J., Dandri M., Mier W., Lütgehetmann M., Volz T., von Weizsäcker F., Haberkorn U., Fischer L., Pollok J.-M., Erbes B., et al. Prevention of hepatitis B virus infection in vivo by entry inhibitors derived from the large envelope protein. Nat. Biotechnol. 2008;26:335–341. doi: 10.1038/nbt1389. [DOI] [PubMed] [Google Scholar]
  • 75.Meier A., Mehrle S., Weiss T.S., Mier W., Urban S. Myristoylated PreS1-domain of the hepatitis B virus L-protein mediates specific binding to differentiated hepatocytes. Hepatology. 2013;58:31–42. doi: 10.1002/hep.26181. [DOI] [PubMed] [Google Scholar]
  • 76.Volz T., Allweiss L., Ben M., Barek M., Warlich M., Lohse A.W., Pollok J.M., Alexandrov A., Urban S., Peterson J., et al. The entry inhibitor myrcludex- B efficiently blocks intrahepatic virus spreading in humanized mice previously infected with Hepatitis B Virus. J. Hepatol. 2013;58:861–867. doi: 10.1016/j.jhep.2012.12.008. [DOI] [PubMed] [Google Scholar]
  • 77.Deterding K., Wedemeyer H. Beyond pegylated interferon-alpha: New treatments for hepatitis delta. AIDS Rev. 2019;21:126–134. doi: 10.24875/AIDSRev.19000080. [DOI] [PubMed] [Google Scholar]
  • 78.LeBlanc E.V., Kim Y., Capicciotti C.J., Colpitts C.C. Hepatitis C virus glycan-dependent interactions and the potential for novel preventative strategies. Pathogens. 2021;10:685. doi: 10.3390/pathogens10060685. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Si Y., Liu S., Liu X., Jacobs J.L., Cheng M., Niu Y., Jin Q., Wang T., Yang W. A human claudin-1-derived peptide inhibits hepatitis C virus entry. Hepatology. 2012;56:507–515. doi: 10.1002/hep.25685. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Lindenbach B.D., Rice C.M. The ins and outs of hepatitis C virus entry and assembly. Nat. Rev. Microbiol. 2013;11:688–700. doi: 10.1038/nrmicro3098. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Zeisel M.B., Fofana I., Fafi-Kremer S., Baumert T.F. Hepatitis C virus entry into hepatocytes: Molecular mechanisms and targets for antiviral therapies. Review. J. Hepatol. 2011;54:566–576. doi: 10.1016/j.jhep.2010.10.014. [DOI] [PubMed] [Google Scholar]
  • 82.Zeisel M.B., Felmlee D.J., Baumert T.F. Hepatitis C virus entry. Review. Curr. Top. Microbiol. Immunol. 2013;369:87–112. doi: 10.1007/978-3-642-27340-7_4. [DOI] [PubMed] [Google Scholar]
  • 83.Zhu Y.Z., Qian X.J., Zhao P., Qi Z.T. How hepatitis C virus invades hepatocytes: The mystery of viral entry. World J. Gastroenterol. 2014;20:3457–3467. doi: 10.3748/wjg.v20.i13.3457. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Alhammad Y.M., Maharajh S., Butcher R., Eden J.S., White P.A., Poumbourios P., Drummer H.E. Longitudinal sequence and functional evolution within glycoprotein E2 in hepatitis C virus genotype 3a infection. PLoS ONE. 2015;10:e0126397. doi: 10.1371/journal.pone.0126397. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Douan F., Lavellette D., Cosset F.-L. The mechanism of HCV entry into host cells. Prog. Mol. Biol. Transl. Sci. 2015;129:63–106. doi: 10.1016/bs.pmbts.2014.10.003. [DOI] [PubMed] [Google Scholar]
  • 86.Chang C.-C., Hsu H.-J., Yen J.-H., Lo S.-Y., Liou J.-W. A sequence in the loop domain of hepatitis C virus E2 protein identified in silico as crucial for the selective binding to human CD81. PLoS ONE. 2017;12:e0177383. doi: 10.1371/journal.pone.0177383. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Wrensch F., Crouchet E., Ligat G., Zeisel M.B., Keck Z.-Y., Foung S.K.H., Schuster C., Baumert T.F. Hepatitis C virus (HCV)-apolipoprotein interactions and immune evasion and their impact on HCV vaccine design. Front. Immunol. 2018;9:1436. doi: 10.3389/fimmu.2018.01436. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Colpitts C.C., Tsai P.-L., Zeisel M.B. Hepatitis C virus entry: An intriguingly complex and highly regulated process. Int. J. Mol. Sci. 2020;21:2091. doi: 10.3390/ijms21062091. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Sabahi A., Uprichard S.L., Wimley W.C., Dash S., Garry R.F. Unexpected structural of features of the hepatitis C virus envelope protein 2 ectodomain. J. Virol. 2014;88:10280–10288. doi: 10.1128/JVI.00874-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Chi X., Niu Y., Cheng M., Liu X., Feng Y., Zheng F., Fan J., Li X., Jin Q., Zhong J., et al. Identification of a potent and broad-spectrum hepatitis C virus fusion inhibitory peptide from the E2 stem domain. Sci. Rep. 2016;6:25224. doi: 10.1038/srep25224. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Moss W.J., Griffin D.E. Global measles elimination. Nat. Rev. Microbiol. 2006;4:900–908. doi: 10.1038/nrmicro1550. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Azarm K.D., Lee B. Differential features of fusion activation within the Paramyxoviridae. Viruses. 2020;12:161. doi: 10.3390/v12020161. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Dutch R.E., Jardetzky T.S., Lamb R.A. Virus membrane fusion proteins: Biological machines that undergo a metamorphosis. Biosci. Rep. 2000;20:597–612. doi: 10.1023/A:1010467106305. [DOI] [PubMed] [Google Scholar]
  • 94.Baker K.A., Dutch R.E., Lamb R.A., Jardetzky T.S. Structural basis for paramyxovirus-mediated membrane fusion. Mol. Cell. 1999;3:309–319. doi: 10.1016/S1097-2765(00)80458-X. [DOI] [PubMed] [Google Scholar]
  • 95.Mathieu C., Augusto M.T., Niewiesk S., Horvat B., Palermo L.M., Sanna G., Maddedu S., Huey D., Castanho M.A.R.B., Porotto M., et al. Broad spectrum antiviral activity for paramyxoviruses is modulated by biophysical properties of fusion inhibitory peptides. Sci. Rep. 2017;7:43610. doi: 10.1038/srep43610. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Kelsey D.R., Flanagan T.D., Young J., Yeagle P.L. Peptide inhibitors of enveloped virus infection inhibit phospholipid vesicle fusion and Sendai virus fusion with phospholipid vesicles. J. Biol. Chem. 1990;265:12178–12183. doi: 10.1016/S0021-9258(19)38328-0. [DOI] [PubMed] [Google Scholar]
  • 97.Epand R.M. Virus replication inhibitory peptide inhibits the conversion of phospholipid bilayers to the hexagonal phase. Biosci. Rep. 1986;6:647–653. doi: 10.1007/BF01114759. [DOI] [PubMed] [Google Scholar]
  • 98.Rapaport D., Ovadia M., Shai Y. A synthetic peptide corresponding to a conserved heptad repeat domain is a potent inhibitor of Sendai virus-cell fusion: An emerging similarity with functional domains of other viruses. EMBO J. 1995;14:5524–5531. doi: 10.1002/j.1460-2075.1995.tb00239.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Lambert D.M., Barney S., Lambert A.L., Guthrie K., Medinas R., Davis D.E., Bucy T., Erickson J., Merutka G., Petteway S.R., Jr. Peptides from conserved regions of paramyxovirus fusion (F) proteins are potent inhibitors of viral fusion. Proc. Natl. Acad. Sci. USA. 1996;93:2186–2191. doi: 10.1073/pnas.93.5.2186. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Yao Q., Compans R.W. Peptides corresponding to the heptad repeat sequence of human parainfluenza virus fusion protein are potent inhibitors of virus infection. Virology. 1996;223:103–112. doi: 10.1006/viro.1996.0459. [DOI] [PubMed] [Google Scholar]
  • 101.Welsch J.C., Talekar A., Mathieu C., Pessi A., Moscona A., Horvat B., Porotto M. Fatal measles virus infection prevented by brain-penetrant fusion inhibitors. J. Virol. 2013;87:13785–13794. doi: 10.1128/JVI.02436-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Düzgüneş N., Konopka K. Peptide inhibitors of viral membrane fusion. Med. Res. Arch. 2020;8:1–33. doi: 10.18103/mra.v8i9.2244. [DOI] [Google Scholar]
  • 103.Figueira T.N., Palermo L.M., Veiga A.S., Huey D., Alabi A., Santos N.C., Welsch J.C., Mathieum C., Horvat B., Niewiesk S., et al. In vivo efficacy of measles virus fusion protein-derived peptides is modulated by the properties of self-assembly and membrane residence. J. Virol. 2016;91:e01554-16. doi: 10.1128/JVI.01554-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Porotto M., Yokoyama C.C., Palermo L.M., Mungall B., Aljofan M., Cortese R., Pessi A., Moscona A. Viral entry inhibitors targeted to the membrane site of action. J. Virol. 2010;84:6760–6768. doi: 10.1128/JVI.00135-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Laureti M., Narayanan D., Rodriguez-Andres J., Fazakerley J.K., Kedzierski L. Flavivirus receptors: Diversity, identity, and cell entry. Front. Immunol. 2018;9:2180. doi: 10.3389/fimmu.2018.02180. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Meertens L., Carnec X., Lecoin M.P., Ramdasi R., Guivel-Benhassine F., Lew E., Lemke G., Schwartz O., Amara A. The TIM and TAM families of phosphatidylserine receptors mediate dengue virus entry. Cell Host Microbe. 2012;12:544–557. doi: 10.1016/j.chom.2012.08.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Perera-Lecoin M., Meertens L., Carnec X., Amara A. Flavivirus entry receptors: An update. Viruses. 2013;6:69–88. doi: 10.3390/v6010069. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Schmidt A.G., Yang P.L., Harrison S.C. Peptide inhibitors of dengue-virus entry target a late-stage fusion intermediate. PLoS Pathog. 2010;6:e1000851. doi: 10.1371/journal.ppat.1000851. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Kimura T., Ohyama A. Association between the pH-dependent conformational change of West Nile flavivirus E protein and virus-mediated membrane fusion. J. Gen. Virol. 1988;69:1247–1254. doi: 10.1099/0022-1317-69-6-1247. [DOI] [PubMed] [Google Scholar]
  • 110.Christian E.A., Kahle K.M., Mattia K., Puffer B.A., Pfaff J.M., Miller A., Paes C., Davidson E., Doranz B.J. Atomic-level functional model of dengue virus envelope protein infectivity. Proc. Natl. Acad. Sci. USA. 2013;110:18662–18667. doi: 10.1073/pnas.1310962110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Chen L., Liu Y., Wang S., Sun J., Wang P., Xin Q., Zhang L., Xiao G., Wang W. Antiviral activity of peptide inhibitors derived from the protein E stem against Japanese encephalitis and Zika viruses. Antivir. Res. 2017;141:140–149. doi: 10.1016/j.antiviral.2017.02.009. [DOI] [PubMed] [Google Scholar]
  • 112.Costin J.M., Jenwitheesuk E., Lok S.M., Hunsperger E., Conrads K.A., Fontaine K.A., Rees C.R., Rossman M.G., Isern S., Samudrala R., et al. Structural optimization and de novo design of dengue virus entry inhibitory peptides. PLoS Negl. Trop. Dis. 2010;4:e721. doi: 10.1371/journal.pntd.0000721. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Connolly S.A., Jardetzky T.S., Longnecker R. The structural basis of herpesvirus entry. Nat. Rev. Microbiol. 2021;19:110–121. doi: 10.1038/s41579-020-00448-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Vollmer B., Grünewald K. Herpesvirus membrane fusion—A team effort. Curr. Opin. Struct. Biol. 2020;62:112–120. doi: 10.1016/j.sbi.2019.12.004. [DOI] [PubMed] [Google Scholar]
  • 115.Lombardi L., Falanga A., Del Genio V., Palomba L., Galdiero M., Franci G., Galdiero S. A boost to the antiviral activity: Cholesterol tagged peptides derived from glycoprotein B of Herpes Simplex virus type I. Int. J. Biol. Macromol. 2020;162:882–893. doi: 10.1016/j.ijbiomac.2020.06.134. [DOI] [PubMed] [Google Scholar]
  • 116.Atanasiu D., Saw W.T., Cohen G.H., Eisenberg R.J. Cascade of events governing cell-cell fusion induced by herpes simplex virus glycoproteins gD, gH/gL, and gB. J. Virol. 2010;84:12292–12299. doi: 10.1128/JVI.01700-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Gianni T., Menotti L., Campadelli-Fiume G. A heptad repeat in herpes simplex virus 1 gH, located downstream of the alpha-helix with attributes of a fusion peptide, is critical for virus entry and fusion. J. Virol. 2005;79:7042–7049. doi: 10.1128/JVI.79.11.7042-7049.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Gianni T., Piccoli A., Bertucci C., Campadelli-Fiume G. Heptad repeat 2 in herpes simplex virus 1 gH interacts with heptad repeat 1 and is critical for virus entry and fusion. J. Virol. 2006;80:2216–2224. doi: 10.1128/JVI.80.5.2216-2224.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119.Galdiero S., Vitiello M., D’Isanto M., Falanga A., Collins C., Raieta K., Pedone C., Browne H., Galdiero M. Analysis of synthetic peptides from heptad-repeat domains of herpes simplex virus type 1 glycoproteins H and B. J. Gen. Virol. 2006;87:1085–1097. doi: 10.1099/vir.0.81794-0. [DOI] [PubMed] [Google Scholar]
  • 120.Galdiero S., Falanga A., Vitiello M., D’Isanto M., Cantisani M., Kampanaraki A., Benedetti E., Browne H., Galdiero M. Peptides containing membrane-interacting motifs inhibit herpes simplex virus type 1 infectivity. Peptides. 2008;29:1461–1471. doi: 10.1016/j.peptides.2008.04.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121.Hoffmann A.R., Guha S., Wu E., Ghimire J., Wang Y., He J., Garry R.F., Wimley W.C. Broad-spectrum antiviral entry inhibition by interfacially active peptides. J. Virol. 2020;94:e01682-20. doi: 10.1128/JVI.01682-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122.Vollmer B., Pražák V., Vasishtan D., Jefferys E.E., Hernandez-Duran A., Vallbracht M., Klupp B.G., Mettenleiter T.C., Backovic M., Rey F.A., et al. The prefusion structure of herpes simplex virus glycoprotein B. Sci. Adv. 2020;6:eabc1726. doi: 10.1126/sciadv.abc1726. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123.Miller E.H., Chandran K. Filovirus entry into cells—New insights. Curr. Opin. Virol. 2012;2:206–214. doi: 10.1016/j.coviro.2012.02.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Fénéant L., Szymańska-de Wijs K.M., Nelson E.A., White J.M. An exploration of conditions proposed to trigger the Ebola virus glycoprotein for fusion. PLoS ONE. 2019;14:e0219312. doi: 10.1371/journal.pone.0219312. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Jain S., Martynova E., Rizvanov A., Khaiboullina S., Baranwal M. Structural and functional aspects of Ebola virus proteins. Pathogens. 2021;10:1330. doi: 10.3390/pathogens10101330. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126.Markosyan R.M., Miao C., Zheng Y.M., Melikyan G.B., Liu S.L., Cohen F.S. Induction of cell-cell fusion by Ebola virus glycoprotein: Low pH is not a trigger. PLoS Pathog. 2016;12:e1005373. doi: 10.1371/journal.ppat.1005373. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127.Miller E.H., Harrison J.S., Radoshitzky S.R., Higgins C.D., Chi X., Dong L., Kuhn J.H., Bavari S., Lai J.R., Chandran K. Inhibition of Ebola virus entry by a C-peptide targeted to endosomes. J. Biol. Chem. 2011;286:15854–15861. doi: 10.1074/jbc.M110.207084. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Koehler J.W., Smith J.M., Ripoll D.R., Spik K.W., Taylor S.L., Badger C.V., Grant R.J., Ogg M.M., Wallqvist A., Guttieri M.C., et al. A fusion-inhibiting peptide against Rift Valley fever virus inhibits multiple, diverse viruses. PLoS Negl. Trop. Dis. 2013;7:e2430. doi: 10.1371/journal.pntd.0002430. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129.Li Q., Ma L., Yi D., Wang H., Wang J., Zhang Y., Guo Y., Li X., Zhou J., Shi Y., et al. Novel cyclo-peptides inhibit Ebola pseudotyped virus entry by targeting primed GP protein. Antivir. Res. 2018;155:1–11. doi: 10.1016/j.antiviral.2018.04.020. [DOI] [PubMed] [Google Scholar]
  • 130.Petsalaki E., Russell R.B. Peptide-mediated interactions in biological systems: New discoveries and applications. Curr. Opin. Biotechnol. 2008;19:344–350. doi: 10.1016/j.copbio.2008.06.004. [DOI] [PubMed] [Google Scholar]
  • 131.Valkov E., Sharpe T., Marsh M., Greive S., Hyvonen M. Targeting protein-protein interactions and fragment-based drug discovery. Top. Curr. Chem. 2012;317:145–179. doi: 10.1007/128_2011_265. [DOI] [PubMed] [Google Scholar]
  • 132.Mullard A. Protein-protein interaction inhibitors get into the groove. Nat. Rev. Drug Discov. 2012;11:173–175. doi: 10.1038/nrd3680. [DOI] [PubMed] [Google Scholar]
  • 133.Lau J.L., Dunn M.K. Therapeutic peptides: Historical perspectives, current development trends, and future directions. Bioorg. Med. Chem. 2018;26:2700–2707. doi: 10.1016/j.bmc.2017.06.052. [DOI] [PubMed] [Google Scholar]
  • 134.Oliva B., Fernandez-Fuentes N. Knowledge-based modeling of peptides at protein interfaces: PiPreD. Bioinformatics. 2015;31:1405–1410. doi: 10.1093/bioinformatics/btu838. [DOI] [PubMed] [Google Scholar]
  • 135.Molina R., Oliva B., Fernandez-Fuentes N. A collection of designed peptides to target SARS-Cov-2-ACE2 interaction: PepI-Covid19 database. bioRxiv. 2020 doi: 10.1101/2020.04.28.051789. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136.Mack E., Ziv E., Reuveni H., Kalman R., Niv M.Y., Jorns A., Lenzen S., Shafrir E. Prevention of insulin resistance and beta-cell loss by abrogating PKCepsilon-induced serine phosphorylation of muscle IRS-1 in Psammomys obesus. Diabetes. Metab. Res. Rev. 2008;24:577–584. doi: 10.1002/dmrr.881. [DOI] [PubMed] [Google Scholar]
  • 137.Wexler I.D., Niv M.Y., Reuveni H. Sequence-based protein kinase inhibition: Applications for drug development. BioTechniques. 2005;39:S575–S576. doi: 10.2144/000112045. [DOI] [PubMed] [Google Scholar]
  • 138.Yeon S.W., Jeon Y.J., Hwang E.M., Kim T.Y. Effects of peptides derived from BACE1 catalytic domain on APP processing. Peptides. 2007;28:838–844. doi: 10.1016/j.peptides.2007.01.006. [DOI] [PubMed] [Google Scholar]
  • 139.Muratspahic E., Freissmuth M., Gruber C.W. Nature-derived peptides: A growing niche for GPCR ligand discovery. Trends Pharmacol. Sci. 2019;40:309–326. doi: 10.1016/j.tips.2019.03.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140.Sudarman E., Bollati-Fogolín M., Hafner M., Müller W., Scheller J., Rose-John S., Eichler J. Synthetic mimetics of the gp130 binding site for viral interleukin-6 as inhibitors of the vIL-6–gp130 Interaction. Chem. Biol. Drug Des. 2008;71:494–500. doi: 10.1111/j.1747-0285.2008.00649.x. [DOI] [PubMed] [Google Scholar]
  • 141.Goodman S.L., Holzemann G., Sulyok G.A., Kessler H. Nanomolar small molecule inhibitors for αvβ6, αvβ5, and αvβ3 integrins. J. Med. Chem. 2002;45:1045–1051. doi: 10.1021/jm0102598. [DOI] [PubMed] [Google Scholar]
  • 142.Rubinstein M., Niv M.Y. Peptidic modulators of protein-protein interactions: Progress and challenges in computational design. Biopolymers. 2009;91:505–513. doi: 10.1002/bip.21164. [DOI] [PubMed] [Google Scholar]
  • 143.Jenny-Avital E.R. Enfuvirtide, an HIV-1 fusion inhibitor. N. Engl. J. Med. 2003;349:1770–1771. [PubMed] [Google Scholar]
  • 144.Garcia-Garcia J., Valls-Comamala V., Guney E., Andreu D., Munoz F.J., Fernandez-Fuentes N., Oliva B. iFrag: A protein-protein interface prediction server based on sequence fragments. J. Mol. Biol. 2017;429:382–389. doi: 10.1016/j.jmb.2016.11.034. [DOI] [PubMed] [Google Scholar]
  • 145.Clackson T., Wells J.A. In vitro selection from protein and peptide libraries. Trends Biotechnol. 1994;12:173–184. doi: 10.1016/0167-7799(94)90079-5. [DOI] [PubMed] [Google Scholar]
  • 146.Wilson D.S., Keefe A.D., Szostak J.W. The use of mRNA display to select high-affinity protein-binding peptides. Proc. Natl. Acad. Sci. USA. 2001;98:3750–3755. doi: 10.1073/pnas.061028198. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147.Zhao G., Huang Y., Zhou Y., Li Y., Li X. Future challenges with DNA-encoded chemical libraries in the drug discovery domain. Expert Opin. Drug Discov. 2019;14:735–753. doi: 10.1080/17460441.2019.1614559. [DOI] [PubMed] [Google Scholar]
  • 148.Huang L.C., Pan X., Yang H., Wan L.K., Stewart-Jones G., Dorrell L., Ogg G. Linking genotype to phenotype on beads: High throughput selection of peptides with biological function. Sci. Rep. 2013;3:3030. doi: 10.1038/srep03030. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 149.Lam K.S., Lebl M., Krchnak V. The “one-bead-one-compound” combinatorial library method. Chem. Rev. 1997;97:411–448. doi: 10.1021/cr9600114. [DOI] [PubMed] [Google Scholar]
  • 150.Szymczak L.C., Kuo H.Y., Mrksich M. Peptide arrays: Development and application. Anal. Chem. 2018;90:266–282. doi: 10.1021/acs.analchem.7b04380. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 151.Quartararo A.J., Gates Z.P., Somsen B.A., Hartrampf N., Ye X., Shimada A., Kajihara Y., Ottmann C., Pentelute B.L. Ultra-large chemical libraries for the discovery of high-affinity peptide binders. Nat. Comm. 2020;11:3183. doi: 10.1038/s41467-020-16920-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 152.Stevers L.M., Sijbesma E., Botta M., MacKintosh C., Obsil T., Landrieu I., Cau Y., Wilson A.J., Karawajczyk A., Eickhoff J., et al. Modulators of 14-3-3 protein-protein interactions. J. Med. Chem. 2018;61:3755–3778. doi: 10.1021/acs.jmedchem.7b00574. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 153.Litman P., Ohne O., Ben-Yaakov S., Shemesh-Darvish L., Yechezkel T., Salitra Y., Rubnov S., Cohen I., Senderowitz H., Kidron D., et al. A novel substrate mimetic inhibitor of PKB/Akt inhibits prostate cancer tumor growth in mice by blocking the PKB pathway. Biochemistry. 2007;46:4716–4724. doi: 10.1021/bi061928s. [DOI] [PubMed] [Google Scholar]
  • 154.Chassagnon I.R., McCarthy C.A., Chin Y.K., Pineda S.S., Keramidas A., Mobli M., Pham V., De Silva T.M., Lynch J.W., Widdop R.E., et al. Potent neuroprotection after stroke afforded by a double-knot spider-venom peptide that inhibits acid-sensing ion channel 1a. Proc. Natl. Acad. Sci. USA. 2017;114:3750–3755. doi: 10.1073/pnas.1614728114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 155.Cafe-Mendes C.C., Ferro E.S., Britto L.R., Martins-de-Souza D. Using mass spectrometry-based peptidomics to understand the brain and disorders such as Parkinson’s disease and schizophrenia. Curr. Top. Med. Chem. 2014;14:369–381. doi: 10.2174/1568026613666131204120747. [DOI] [PubMed] [Google Scholar]
  • 156.Blackwell H.E., Grubbs R.H. Highly efficient synthesis of covalently cross-linked peptide helices by ring-closing metathesis. Angew. Chem. Int. Ed. Engl. 1998;37:3281–3284. doi: 10.1002/(SICI)1521-3773(19981217)37:23&#x0003c;3281::AID-ANIE3281&#x0003e;3.0.CO;2-V. [DOI] [PubMed] [Google Scholar]
  • 157.Davies J.S. The cyclization of peptides and depsipeptides. J. Pept. Sci. 2003;9:471–501. doi: 10.1002/psc.491. [DOI] [PubMed] [Google Scholar]
  • 158.Czabotar P.E., Lee E.F., van Delft M.F., Day C.L., Smith B.J., Huang D.C., Fairlie W.D., Hinds M.G., Colman P.M. Structural insights into the degradation of Mcl-1 induced by BH3 domains. Proc. Natl. Acad. Sci. USA. 2007;104:6217–6222. doi: 10.1073/pnas.0701297104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 159.Glas A., Bier D., Hahne G., Rademacher C., Ottmann C., Grossmann T.N. Constrained peptides with target-adapted cross-links as inhibitors of a pathogenic protein-protein interaction. Angew. Chem. Int. Ed. Engl. 2014;53:2489–2493. doi: 10.1002/anie.201310082. [DOI] [PubMed] [Google Scholar]
  • 160.Assi S.A., Tanaka T., Rabbitts T.H., Fernandez-Fuentes N. PCRPi: Presaging Critical Residues in Protein interfaces, a new computational tool to chart hot spots in protein interfaces. Nucl. Acids Res. 2010;38:e86. doi: 10.1093/nar/gkp1158. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 161.London N., Raveh B., Movshovitz-Attias D., Schueler-Furman O. Can self-inhibitory peptides be derived from the interfaces of globular protein-protein interactions? Proteins. 2010;78:3140–3149. doi: 10.1002/prot.22785. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 162.Moon J.B., Howe W.J. Computer design of bioactive molecules: A method for receptor-based de novo ligand design. Proteins. 1991;11:314–328. doi: 10.1002/prot.340110409. [DOI] [PubMed] [Google Scholar]
  • 163.King C.A., Bradley P. Structure-based prediction of protein-peptide specificity in Rosetta. Proteins. 2010;78:3437–3449. doi: 10.1002/prot.22851. [DOI] [PubMed] [Google Scholar]
  • 164.Frenkel D., Clark D.E., Li J., Murray C.W., Robson B., Waszkowycz B., Westhead D.R. PRO_LIGAND: An approach to de novo molecular design. 4. Application to the design of peptides. J. Comput.-Aided Mol. Des. 1995;9:213–225. doi: 10.1007/BF00124453. [DOI] [PubMed] [Google Scholar]
  • 165.Teixido M., Belda I., Rosello X., Gonzalez S., Fabre M., Llor X., Bacardit J., Garrell J.M., Vilaro S., Albericio F., et al. Development of a genetic algorithm to design and identify peptides that can cross the blood-brain barrier. QSAR Comb. Sci. 2003;22:745–753. doi: 10.1002/qsar.200320004. [DOI] [Google Scholar]
  • 166.Diharce J., Cueto M., Beltramo M., Aucagne V., Bonnet P. In silico peptide ligation: Iterative residue docking and linking as a new approach to predict protein-peptide interactions. Molecules. 2019;24:1351. doi: 10.3390/molecules24071351. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 167.Roberts K.E., Cushing P.R., Boisguerin P., Madden D.R., Donald B.R. Computational design of a PDZ domain peptide inhibitor that rescues CFTR activity. PLoS Comput. Biol. 2012;8:e1002477. doi: 10.1371/journal.pcbi.1002477. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 168.Zaidman D., Wolfson H.J. PinaColada: Peptide-inhibitor ant colony ad-hoc design algorithm. Bioinformatics. 2016;32:2289–2296. doi: 10.1093/bioinformatics/btw133. [DOI] [PubMed] [Google Scholar]
  • 169.Raveh B., London N., Schueler-Furman O. Sub-angstrom modeling of complexes between flexible peptides and globular proteins. Proteins. 2010;78:2029–2040. doi: 10.1002/prot.22716. [DOI] [PubMed] [Google Scholar]
  • 170.Donsky E., Wolfson H.J. PepCrawler: A fast RRT-based algorithm for high-resolution refinement and binding affinity estimation of peptide inhibitors. Bioinformatics. 2011;27:2836–2842. doi: 10.1093/bioinformatics/btr498. [DOI] [PubMed] [Google Scholar]
  • 171.Watt P.M. Screening for peptide drugs from the natural repertoire of biodiverse protein folds. Nat. Biotechnol. 2006;24:177–183. doi: 10.1038/nbt1190. [DOI] [PubMed] [Google Scholar]
  • 172.Cruz-Migoni A., Fuentes-Fernandez N., Rabbitts T.H. Peptides: Minimal drug surrogates to interrogate and interfere with protein function. MedChemComm. 2013;4:1218–1221. doi: 10.1039/C3MD00142C. [DOI] [Google Scholar]
  • 173.Badia-Villanueva M., Defaus S., Foj R., Andreu D., Oliva B., Sierra A., Fernandez-Fuentes N. Evaluation of computationally designed peptides against TWEAK, a cytokine of the tumour necrosis factor ligand family. Int. J. Mol. Sci. 2021;22:1066. doi: 10.3390/ijms22031066. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 174.Hoffmann M., Kleine-Weber H., Schroeder S., Kruger N., Herrler T., Erichsen S., Schiergens T.S., Herrler G., Wu N.H., Nitsche A., et al. SARS-CoV-2 cell entry depends on ACE2 and TMPRSS2 and is blocked by a clinically proven protease inhibitor. Cell. 2020;181:271–280. doi: 10.1016/j.cell.2020.02.052. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 175.Yan R., Zhang Y., Li Y., Xia L., Guo Y., Zhou Q. Structural basis for the recognition of SARS-CoV-2 by full-length human ACE2. Science. 2020;367:1444–1448. doi: 10.1126/science.abb2762. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 176.Monteil V., Kwon H., Prado P., Hagelkruys A., Wimmer R.A., Stahl M., Leopoldi A., Garreta E., Hurtado Del Pozo C., Prosper F., et al. Inhibition of SARS-CoV-2 infections in engineered human tissues using clinical-grade soluble human ACE2. Cell. 2020;181:905–913. doi: 10.1016/j.cell.2020.04.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 177.Chan K.K., Dorosky D., Sharma P., Abbasi S.A., Dye J.M., Kranz D.M., Herbert A.S., Procko E. Engineering human ACE2 to optimize binding to the spike protein of SARS coronavirus 2. Science. 2020;369:1261–1265. doi: 10.1126/science.abc0870. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 178.Cao L., Goreshnik I., Coventry B., Case J.B., Miller L., Kozodoy L., Chen R.E., Carter L., Walls A.C., Park Y.J., et al. De novo design of picomolar SARS-CoV-2 miniprotein inhibitors. Science. 2020;370:426–431. doi: 10.1126/science.abd9909. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 179.Barnes C.O., Jette C.A., Abernathy M.E., Dam K.A., Esswein S.R., Gristick H.B., Malyutin A.G., Sharaf N.G., Huey-Tubman K.E., Lee Y.E., et al. SARS-CoV-2 neutralizing antibody structures inform therapeutic strategies. Nature. 2020;588:682–687. doi: 10.1038/s41586-020-2852-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 180.Shi R., Shan C., Duan X., Chen Z., Liu P., Song J., Song T., Bi X., Han C., Wu L., et al. A human neutralizing antibody targets the receptor-binding site of SARS-CoV-2. Nature. 2020;584:120–124. doi: 10.1038/s41586-020-2381-y. [DOI] [PubMed] [Google Scholar]
  • 181.Zhou D., Duyvesteyn H.M.E., Chen C.P., Huang C.G., Chen T.H., Shih S.R., Lin Y.C., Cheng C.Y., Cheng S.H., Huang Y.C., et al. Structural basis for the neutralization of SARS-CoV-2 by an antibody from a convalescent patient. Nat. Struct. Mol. Biol. 2020;27:950–958. doi: 10.1038/s41594-020-0480-y. [DOI] [PubMed] [Google Scholar]
  • 182.Schoof M., Faust B., Saunders R.A., Sangwan S., Rezelj V., Hoppe N., Boone M., Billesbolle C.B., Puchades C., Azumaya C.M., et al. An ultrapotent synthetic nanobody neutralizes SARS-CoV-2 by stabilizing inactive Spike. Science. 2020;370:1473–1479. doi: 10.1126/science.abe3255. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 183.Song Y., Song J., Wei X., Huang M., Sun M., Zhu L., Lin B., Shen H., Zhu Z., Yang C. Discovery of aptamers targeting the receptor-binding domain of the SARS-CoV-2 spike glycoprotein. Anal. Chem. 2020;92:9895–9900. doi: 10.1021/acs.analchem.0c01394. [DOI] [PubMed] [Google Scholar]
  • 184.Liu X., Wang Y.L., Wu J., Qi J., Zeng Z., Wan Q., Chen Z., Manandhar P., Cavener V.S., Boyle N.R., et al. Neutralizing aptamers block S/RBD-ACE2 interactions and prevent host cell Infection. Angew. Chem. Int. Ed. Engl. 2021;60:10273–10278. doi: 10.1002/anie.202100345. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 185.Han Y., Kral P. Computational design of ACE2-based peptide inhibitors of SARS-CoV-2. ACS Nano. 2020;14:5143–5147. doi: 10.1021/acsnano.0c02857. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 186.Lan J., Ge J., Yu J., Shan S., Zhou H., Fan S., Zhang Q., Shi X., Wang Q., Zhang L., et al. Structure of the SARS-CoV-2 spike receptor-binding domain bound to the ACE2 receptor. Nature. 2020;581:215–220. doi: 10.1038/s41586-020-2180-5. [DOI] [PubMed] [Google Scholar]
  • 187.Konduri K.S., Pattisapu R., Pattisapu J., Konduri G.G., Zwetchkenbaum J., Roy B., Barman M., Frazier A., Hurst B.L., Düzgüneş N. ProLung budesonide inhibits SARS-CoV-2 replication and reduces lung inflammation. Arch. Pharmacol. Ther. 2021;3:52–65. doi: 10.33696/pharmacol.3.028. [DOI] [PMC free article] [PubMed] [Google Scholar]

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