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. 2013 Oct 11;8(10):e76876. doi: 10.1371/journal.pone.0076876

Inhibition of Influenza A Virus Infection In Vitro by Peptides Designed In Silico

Rogelio López-Martínez 1, G Lizbeth Ramírez-Salinas 2, José Correa-Basurto 2, Blanca L Barrón 1,*
Editor: Paul Taylor3
PMCID: PMC3795628  PMID: 24146939

Abstract

Influenza A viruses are enveloped, segmented negative single-stranded RNA viruses, capable of causing severe human respiratory infections. Currently, only two types of drugs are used to treat influenza A infections, the M2 H+ ion channel blockers (amantadine and rimantadine) and the neuraminidase inhibitors (NAI) (oseltamivir and zanamivir). Moreover, the emergence of drug-resistant influenza A virus strains has emphasized the need to develop new antiviral agents to complement or replace the existing drugs. Influenza A virus has on the surface a glycoprotein named hemagglutinin (HA) which due to its important role in the initial stage of infection: receptor binding and fusion activities of viral and endosomal membranes, is a potential target for new antiviral drugs. In this work we designed nine peptides using several bioinformatics tools. These peptides were derived from the HA1 and HA2 subunits of influenza A HA with the aim to inhibit influenza A virus infection. The peptides were synthetized and their antiviral activity was tested in vitro against several influenza A viral strains: Puerto Rico/916/34 (H1N1), (H1N1)pdm09, swine (H1N1) and avian (H5N2). We found these peptides were able to inhibit the influenza A viral strains tested, without showing any cytotoxic effect. By docking studies we found evidence that all the peptides were capable to bind to the viral HA, principally to important regions on the viral HA stalk, thus could prevent the HA conformational changes required to carry out its membranes fusion activity.

Introduction

Influenza A viruses are enveloped, segmented negative single-stranded RNA viruses, belonging to the Orthomyxoviridae family, capable of causing several respiratory diseases in humans, varying from upper acute respiratory infections to severe diseases like pneumonia [1]. Influenza A virus infection initiates with the attachment of the viral surface glycoprotein hemagglutinin (HA) to sialic acid receptors located on the cell surface. The HA encoded by the viral genome segment 4, is classified as a surface glycoprotein type I, is the main viral antigenic determinant, and has been typed in 20 subtypes (H1-H20) [2,3]. The HA is synthesized as a polypeptide HA0 precursor, which contains a signal sequence, a proteolytic cleavage site, a hydrophobic sequence known as the fusion peptide, and a transmembrane anchor domain in the carboxy-terminal end, followed by a cytoplasmic tail. The HA0 polypeptide is folded and assembled in homotrimers in the endoplasmic reticulum (ER) [2]. A posttranslational proteolytic cleavage generates the HA1 and HA2 subunits which are covalently linked by a disulfide bond [2,3,4]. The HA homotrimer forms a large membrane-distal globular domain and an elongated membrane-proximal domain (stalk region). The distal domain is made only by the HA1 polypeptide and contains the sialic acid-receptor binding site (RBS) and a vestigial esterase (VES) subdomain [5]. The stalk region is mainly formed by the HA2 polypeptide, which contains the Fusion subdomain (F) and the N- and C- terminal segments of the HA1 polypeptide (F´ fusion subdomain) [6,7].

Once Influenza A virus HA has bound to the cellular receptor, the viral particle is internalized into the endocytic compartment [8] where low-pH induces several structural changes on the HA, making a loop-to-helix transition of an inter-helical loop (B loop). This loop-to-helix transition enables extension of the central coiled-coil and facilitates relocation of the fusion peptide toward the target membrane [9,10,11,12,13,14,15]. Currently, two types of antiviral drugs are available against influenza A virus infections, the neuraminidase inhibitors (NAI) that block the viral progeny release from the infected cell. The other group of compounds is the amantadanes or blockers of the M2 viral ion channel, which prevent viral uncoating process [16]. Nowadays, two NAI are available, Olsetamivir and Zanamivir, however resistance has been reported for A/H5N1, A/H3N2, and A/H1N1 seasonal and pandemic strains [17,18,19]. The amantadanes, like amantadine and rimantadine are not recommended due to their secondary effects and high level of resistant strains, above 98% [20,21].

To search for new antiviral drugs, several strategies have been used, one approach has been the screening of thousand compounds against influenza A virus; and other is based on the design of antivirals against specific an important viral molecules [22]. The design of antiviral peptides (AVPs) has been considered an important strategy to control viral infections either by blocking viral attachment or entry into host cells or by using peptides coupled to other molecules to penetrate into the cell and then, interfere with internal fusion or replication events [22,23,24]. Several antiviral peptides against different viruses have been found by using the phage displayed strategy, such as a murine brain cDNA phage display library against West Nile Virus, or a disulfide constrained heptapeptide phage display library against avian influenza virus H9N2 [25,26,27].

It is known that bioinformatics and molecular modeling tools are a very useful approach to design new antiviral drugs [28,29,30]. Those computer-based methods allow designing peptides with high-affinity for a specific target protein, such as essential proteins involved in the initial steps of the viral infectious cycle. By using this approach, peptides derived from Dengue virus E protein have been designed to inhibit viral binding or the fusion event to the host cell [28,31]. For influenza A virus two proteins, HB36 and HB80, were designed to bind a conserved surface patch on the stalk of the influenza hemagglutinin (HA) of the 1918 H1N1 pandemic virus and it has been suggested that both proteins could be useful for therapeutics or diagnosis procedures [29].

Our group developed an algorithm to design several peptides to inhibit influenza A viral infections in vitro. These antiviral peptides (AVPs) were derived from the influenza A virus HA, specifically from highly conserved regions [30]. In this study, we present the in vitro antiviral evaluation of the designed AVPs against influenza A virus using several influenza A strains and also, docking studies to elucidate the probable antiviral mechanism.

Material and Methods

Cells and viruses

MDCK cells were grown and maintained in DMEM F:12 medium supplemented with 10% of fetal bovine serum. Each influenza A virus strain: avian H5N2, swine classic H1N1, Puerto Rico/916/34 (H1N1), and pandemic (H1N1)pdm09, were propagated in MDCK cells using DMEM F:12 medium supplemented with bovine serum albumin 1 %, HEPES 20 mM, and 4.5 µg/ml of trypsin. Cells were incubated at 37°C for 3-6 days, until cytopathic effect (CPE) was observed. Supernatants were clarified by centrifugation at 800 xg for 5 min, and aliquots were stored at -70°C before use. Virus titer was determined by the TCID50 method.

Design and analyses in silico of antiviral peptides

The design of potentially antiviral peptides (AVPs) against influenza A virus was carried out as previously described [30]. Briefly, the HA1 and HA2 sequences available until August 2011 were separately downloaded from the NCBI database (National Center for Biotechnology Information) [http://www.ncbi.nlm.nih.gov/genomes/FLU/Database/]. The sequences were clustered according to the subtype of HA and each cluster was aligned with ClustalX2 [32] to obtain a consensus sequence for each HA subtype. A second alignment using TCOFFEE [http://www.ebi.ac.uk/t-coffee/] [33,34] was carried out with all the consensus sequences previously obtained, to detect regions with highly conserved amino acids sequence to generate a global consensus sequence, which was edited with GeneDoc v.2.7.000, BioEdit v.7.0.9.0 and the WEBLOGO server [http://weblogo.berkeley.edu.org/] [35]. The highly conserved regions from HA1 and HA2 subunits represented in the consensus sequences were separately analyzed using several bioinformatics tools to determine physicochemical properties such as, hydrophobicity and flexibility, using the scales Kyte-Doolittle and Average Flexibility Index, respectively [http://web.expasy.org/protscale/] [36,37]. Antigenicity was predicted using the Parker’ scale with the Hydrophilicity Prediction program [http://tools.immuneepitope.org/tools/bcell/iedb_input] [38,39]. Chemical charge was determined with the EMBOSS server [40,41]. Finally, the highly conserved regions (>80% conserved amino acid sequence) with a size of 12 to 20 amino acids length, which at the same time showed to be hydrophilic, flexible, exposed and with chemical overall charge were chosen as probably AVPs.

Docking studies

Protein-protein docking was done by ClusPro.2.0 server [http://cluspro.bu.edu/login] [42], which is a fully automated web-based program based on CAPRI (critical assessment of prediction of interactions), using the HA (H1N1)pdm09 3D structure [PDB:3LZG] as a target for the AVPs 3D structures. The AVPs 3D structures were modeled using the PEP-FOLD program [http://bioserv.rpbs.univ-paris-diderot.fr/PEP-FOLD/] [43,44]. The best 3D model for each AVP was selected according to PEP-FOLD server, considering the lowest energy model (sOPEP, score Optimized Potential for Efficient structure Prediction) that indicates peptide stability [44]; and the highest tm value (template modeling score) that indicates the quality of peptide structure according the template alignments used [45]. The complexes were analyzed using Chimera v1.6rc and the server CMA (Contact Map Analysis) [ligin.weizmann.ac.il/cma/]) [46]. Docking results were visualized using Chimera v1.6rc and PyMOL 1.3 program. We selected the models with the lowest balanced coefficients of free energy values, ΔG (kcal/mol), which meant they were energetically favorable; and also, the lowest cluster complex size, which is related to a high frequency of interactions between receptor (HA) and ligand (AVP) at the same site.

Peptides synthesis and cytotoxicity assays

The AVPs were synthesized at InvitrogenTM USA with minimum of 95% of purity. The AVP cytotoxicity assays were carried out in MDCK cells using the MTT reduction method [47]. Briefly, MDCK cells were seeded at 2X104 cells/well in 96 microwell plates and incubated at 37°C with 5% CO2, 24 h before use. Each AVP was separately diluted to obtain different concentrations, and then, a final volume of 100 μl of each concentration, was added to MDCK cells. After 24 h incubation period at 37 °C in a humidified 5% CO2, 10 μl of MTT reagent (5 mg/ml, 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2H-tetrazoliumbromid in PBS) were added to each well. After 4 h of incubation, the MTT-reagent was removed and the formazan generated in the cells was dissolved with 50 μl of 15% w/v sodium dodecyl sulfate in 0.02 M HCl. The absorbance of each well was measured at 570 nm [48]. Untreated control cells were included. The 50% cytotoxic concentration (CC50) was defined as the peptide concentration that reduced cell viability by 50%, compared to untreated controls, and it was calculated as [(A-B)/A]X100, where A and B are the OD540 of untreated and treated cells, respectively [49,50,51].

Antiviral assays

The antiviral assays were done in a similar way as it was described for the cytotoxicity assay; but in these cases, virus and peptides were added simultaneously to the cells [52]. Each influenza A virus was used at 100 TCID50/well. The mixture cells-virus-AVP was incubated at 37°C in atmosphere of 5% CO2, until the viral control showed >80% CPE. Viral infection was detected by the MTT method as describe above. The percent protection was calculated as [(A-B)/C-B)]x100, where A, B and C corresponded to the absorbance of treated infected, untreated infected, and untreated uninfected cells, respectively. The 50% viral inhibitory concentration (IC50) for each AVP was determined as the peptide concentration that achieves 50% protection of treated infected cells [49,50,51].

Results and Discussion

Design and analyses in silico of antiviral peptides

A total of 5,918 HA1 subunit sequences belonging to 13 of 16 HA subtypes were analyzed. After the alignment and edition process, a 93 TCOFFEE score was obtained. For the subunit HA2 alignment we used the complete amino acid sequence (560-570 amino acid residues) of each of the 16 reference HA subtypes, and a 95 score was obtained with T-COFFEE express. Both, HA1 and HA2 subunits showed a highly conserved amino acid sequence of approximately 50 and 40 amino acids length, located at the N-t and C-t end of the HA1 subunit, respectively (Figures 1A, 1B); and 80 amino acids length at the N-t of the HA2 subunit (data not shown).

Figure 1. Conserved amino acid sequences located at the N-t and C-t ends of HA1 subunit and physicochemical parameters used to design the AVPs.

Figure 1

1a) and 1B) T-Coffee alignment of thirteen consensus sequences obtained for the H1, H2, H3, H4, H5, H6, H7, H9, H10, H11, H12, H13, and H14, HA subtypes. A) Alignment of the N-t end of the HA1 subunit; B) Alignment of the C-t end of the HA1 subunit. Color´ scale: blue-bad to red-good. This color scheme is named the CORE index and is a mean of assessing the local reliability of a multiple sequence alignment. 1C) and 1D) Normalized physicochemical properties determined by in silico analysis of the N-t and C-t ends of the HA1 subunits. The lines above indicate the regions selected to design the AVPs, and the name of the AVP.

Once we detected these conserved regions in the HA subunits, they were submit analyzed for several physicochemical parameters to design the antiviral peptides (AVPs). Since it is known that due to the nature of the membrane fusion process that allows viral entry into the cell, functional regions of the viral glycoproteins involved in this event, need to be accessible (surface exposed), hydrophilic, and flexible. These properties have been found to be important for the protein-protein interactions, necessary for the activation of the fusion event [53]. Therefore, regions of the glycoproteins with these physiochemical properties have been used for designing antiviral peptides [53,30].

The physicochemical in silico analysis of the conserved regions of the HA showed several short regions in both, N-t and C-t ends of the HA1 subunit, which were used to generate the AVPs, due that these regions presented the properties that we were looking for: hydrophilic, flexible, exposed (antigenic) and with chemical overall charge (Figures 1C, 1D). The AVPs were derived from the amino acid residues located at the positions 10-24, 44-59 and 26-40 of the N-t end; and 279-296, 299-310, 270-285 of the C-t end. Both regions corresponded to the F’ subdomain of 3D HA structure [8]. The AVPs were labeled as N1LB-HA, N2LB-HA, N3LB-HA, and C1LB-HA, C2LB-HA, C3LB-HA, for N-t and C-t end, respectively. The AVPs from the HA2 subunit were derived from the amino acid residues located at the positions 410-421, 489-510, and 517-537. These AVPs were labeled as PHGB-1, PHG-3 and PHGB-4, and corresponded to the HA stalk region [54].

AVPs cytotoxicity

Cytotoxicity assays carried out with the HPLC-purified peptides synthesized by Invitrogen® did not show any change in cell morphology, and the MTT reduction assay confirmed the low values of toxicity. The maximum toxicity level was 15% and was detected only at the highest concentration of the AVPs, 2.5 mM (data not shown), result that is in agreement with other previous reports [22,26].

Antiviral effectiveness of the designed AVPs

The antiviral assays of the designed AVPs showed that all of them were capable to inhibit the four influenza A viral strains, since after 96 h of being the virus in presence of each of the AVPs, most of the cells did not show evidence of CPE, compared to the untreated infected cells, which showed 100% of CPE. The CPE was characterized by cellular detachment, as well cell rounding swelling and finally cellular death. Even more, CPE inhibition was confirmed by the MTT assay, and the protection of the cells against viral infection was directly related to the AVP concentration as a dose-response effect (Figures 2-6). These results confirmed that peptides derived from the protein-protein interface could block the viral infection probably due that they mimic the modes of binding of its original domain to its specific partner protein [55]

Figure 2. Antiviral activity against influenza A Puerto Rico/916/34 (H1N1) viral strain by AVPs derived from HA2 subunit.

Figure 2

It is expressed as % of cell protection against viral infection, measured by MTT assay. The upper line in each figure indicates the tested AVP.

Figure 3. Antiviral activity against influenza A (H1N1)pdm09 viral strain by AVPs derived from HA1 subunit.

Figure 3

It is expressed as % of cell protection against viral infection, measured by MTT assay. The upper line in each figure indicates the tested AVP.

Figure 4. Antiviral activity against influenza A H1N1 swine viral strain by AVPs derived from HA1 subunit.

Figure 4

It is expressed as % of cell protection against viral infection, measured by MTT assay. The upper line in each figure indicates the tested AVP.

Figure 5. Antiviral activity against influenza A H5N2 avian viral strain by AVPs derived from HA1 subunit.

Figure 5

It is expressed as % of cell protection against viral infection, measured by MTT assay. The upper line in each figure indicates the tested AVP.

Figure 6. Antiviral activity against influenza A Puerto Rico/916/34 (H1N1) viral strain by AVPs derived from HA2 subunit.

Figure 6

It is expressed as % of cell protection against viral infection, measured by MTT assay. The upper line in each figure indicates the tested AVP.

The effectiveness of each AVP was compared by calculating its lowest concentration capable to inhibit 50% of the viral infection (IC50) (Table 1). All the AVPs derived from the HA1 subunit were effective against the four influenza A viral strains, and most of them required a concentration within a range of 20 to 74 µM to obtain one IC50. Data that is within the range of other antiviral peptides, such as a cyclic and a linear peptide (100 µM) tested against avian influenza H9N2 [26,27] or the new chemical fusion inhibitors [56], or even more, the zanamivir antiviral assays against several influenza A virus strains in MDCK cells has reported IC50 from 4 to 58.3 µM; although the zanamivir IC50 determined by the enzymatic inhibition method of the viral neuraminidase activity has been reported in range of 2.2 to 30 nM [57].

Table 1. Comparison of the 50% inhibitory concentration (IC50) required by each AVP to inhibit influenza A viruses.

Viral inhibitory concentration IC50 (µM)
AVP Influenza A strain
PR/916/34 (H1N1) Pandemic (H1N1)pdm2009 Swine classic (H1N1) Avian (H5N2)
N1LB-HA ≥250 33.97 50.83 ≥250
N2LB-HA 27.01 30.46 30 ≥250
N3LB-HA 20.46 40.23 20.19 35.45
C1LB-HA 25.43 27.94 62.16 22.41
C2LB-HA ≥250 74.07 ≥250 27.89
C3LB-HA 27.21 26.45 28.3 30.95
PHGB-1 32 ND - ND -ND
PHGB-3 33 ND - ND - ND
PHGB-4 33 ND - ND - ND

ND=No determined

The AVPs derived from the N-t end inhibited the three H1N1 influenza viruses at an IC50 20-50 µM. In contrast the avian H5N2 strain required a higher IC50 (≥250 µM). The AVPs derived from the C-t end were highly effective against the avian H5N2 viral strain (22-31 µM), but also against the H1N1 strains, except the C2LB-HA peptide. For the three AVPs derived from the HA2 subunit, we found similar IC50 32-33 µM to inhibit the influenza A PR/916/34 (H1N1) viral strain (Table 1).

All these antiviral assays demonstrated that the designed AVPs were effective to inhibit different influenza A virus strains of human, swine and avian origin, even that the avian strain had a different HA subtype compared to the other strains. And furthermore, it is known that the phylogenetic tree of influenza A virus based on HA subtype H1N1 can be separated in three phylogenetic subtypes according to the host: avian, swine or human [58].

Our strategy showed that the designed AVPs had an inhibitory activity against influenza A virus either with HA subtype H1 or H5. But, because our AVPs were derived from highly conserved amino acid sequences of the HA stalk region, they probably could be effective against any HA subtype. Since it was demonstrated that the HA stalk contains highly conserved regions among all 16 influenza A HA subtypes [59,60,61]. But it would be necessary further assays to confirm our proposal as well as to find out the mechanism for the antiviral activity.

We suggested as probable mechanism for the antiviral activity of the designed AVPs, that each AVP could bind to the HA, blocking its conformational changes inside the endosome, preventing the fusion event [62], due that protein-protein interactions are necessary to achieve the conformational changes required to activate the fusion mechanism [53,30]. In order to analyze this proposal we carried out the protein-protein docking studies.

Docking studies

Due that in vitro antiviral activity assays (Figures 2-6 and Table 1) showed that the three AVP derived from the N-t end HA1 were mainly effective against the H1N1 viral strains (IC50 20-50 µM), a docking analysis was performed with each AVP 3D (N1LB-HA, N2LB-HA and N3LB-HA) model against the trimeric structure of (H1N1) HA protein (PDB:3LZG). Docking results showed multiple hydrogen bonds and electrostatic interactions between each AVP and the HA. These interactions were located at important HA domains, such as the F´, Helix A, Loop B subdomains in the stalk region; but also, the RBS and VES in distal HA region [30] (Figure 7A). Furthermore, these AVPs were also capable to bind to several in silico predicted linear and discontinuous epitopes located on the HA stalk and globular regions (Table 2). All these bindings could interfere with the conformational changes required by the HA to expose its fusion subdomain which carries out the fusion activity [5,6,7].

Figure 7. Interaction sites among AVPs derived of N-t of the HA1 subunit targeting influenza A HA (3LZG).

Figure 7

A) Sites of interaction. B) An amplification of N2LB-HA interaction with the distal domain of HA.

Table 2. Interactions among influenza A HA and AVPs derived from the subunits HA1 and HA2 * .

AVP (size) Docked energy   Predicted HA Epitope(s) Interacting with the AVPs
Lineara/(HA subdomain) Discontinousb HA subdomain/# of residues interacting
N1LB-HA (15-mer) -499.3 IEGGWTGMVDGW/(F) DTLCIGYHANNSTD/(F´) F’, Fusion peptide/11
N2LB-HA (16-mer) -649.3 EPGDKITFEATGNLVVPRYAFA/(RBS) TSSDNGTCYP/(VES) EIAIRPKVRDQEG/(RBS) SDTPVHDCN/(RBS, F´) RBS, VES/10
N3LB-HA (15-mer) -673.0 IEGGWTGMVDGW/(F) DTLCIGYHANNSTD/(F´) F’, Fusion peptide, Helix A/8
C1LB-HA (18-mer) -704.0 GNPECESLSTAS/(VES) TSSDNGTCYP/(VES) EIAIRPKVRDQEG/(RBS) SDTPVHDCN/(RBS, F´) VES, RBS/14
C2LB-HA (12-mer) -646.0 none none
C3LB-HA (16-mer) -532.6 DTLCIGYHANNSTD/(F´) IEGGWTGMVDGW/(F) GYHHQNEQGSGYAADLK/(Helix A) F’, Fusion peptide, Helix A/8
PHGB-1 (12-mer) -605.7 HHPSTSADQQSLYQNADTY/(RBS) EIAIRPKVRDQEG/(RBS) RBS/2
PHGB-3 (22-mer) -921.7 TSSDNGTCYP/(VES) SDTPVHDCN/(RBS, F´) EPGDKITFEATGNLVVPRYAFA/(RBS) VES, RBS/14
PHGB-4 (21-mer) -766.2 EPGDKITFEATGNLVVPRYAFA/(RBS) RSB/1

* Target influenza A HA (3LZG). The epitopes were predicted in silico by using http://tools.immuneepitope.org/tools/ElliPro/iedb_input [68]

a In bold are indicated the HA amino acid residues located within the predicted linear epitope(s) interacting with the AVP.

b Indicate the HA subdomains whose amino acid residues are located within predicted discontinuous epitope(s) interacting with the AVP.

To analyze in more detail the AVP interactions to HA, we chose the N2LB-HA AVP [30], (Figure 7B, Table 2). Many interactions were found with several HA subdomains, such as: in the VES, Asn65-Glu15, Glu89-Ser13, Pro90-Asp11, Ser92-Glu15, Asp93-Lys4, Thr96-Leu1, Gly100-Leu1, Phe102-Leu1, Try105-Glu15, Glu106-Ile14, and Arg109-Ile14; in the RBS Ser207-Asn2, Arg208-Asn2, Glu238-Asn2, Ile269-Cys12, Pro284-Leu9, and His298-Asp8; in the F´, Ile300-Leu9; in the Loop B, Gly67-Leu9, Lys68-Leu7, Glu69-Ile14, Asn71-Gly16, and His72-Gly16. But besides that, interestingly, we found the HA Phe70 interacted with Ile14-AVP, and this interaction could be very relevant, since it is known, that although low pH is the sole trigger for fusion in influenza virus HA, it does this in a well-regulated, stepwise manner. At neutral-pH the B loop displays a “collapsed” conformation and is closely packed against the central coiled coil. The interactions are mostly hydrophobic and involve two highly conserved phenyl alanine residues (Phe63 and Phe70). Both residues are considered a conformational lock for HA loop B, and at low pH they are released from their binding socket, destabilizing the loop B conformation to form a triple-stranded post-fusion structure [9]. Therefore, if the N2LB-HA peptide is bound to HA Phe70could maintain the lock for the loop B, even at acidic pH (Figure 7B), and this this interaction could block the viral infection due that the fusion peptide is unable to be exposed. Besides that, the side-chain of Asp8 from N2LB-HA interacted also with HA side-chain of Asn81 and Lys82 making hydrogen bond and electrostatic interactions, respectively, in the Helix B subdomain (within the hepta-repeat2) (Figure 7B), thus interaction could also help to block the exposure of the fusion peptide. Therefore these docking results are in agreement with the antiviral activity observed against the H1N1 viral strains.

Due that the C3LB-HA AVP was highly effective against the H1N1 and H5N2 strains (IC50 26-31 µM) (Table 1, Figures 2-6), we analyzed in more detail its interactions with the HA (Figure 8B). Docking with C3LB-HA indicated that binding could occur in the HA membrane proximal domain, specifically by interaction with the Helix A, fusion peptide, and F’ subdomains, through 101 contacts [30]. We found several interactions involving side-chains of amino acid residues from HA Helix A and F´ subdomains: with the Helix A: Leu38-Thr6, Thr41-Thr6, Gln42-Lys7, Ile45-Lys7, Asp46-Lys7, Thr49-Asn3, Val52-Ile1, Asn53-Ile1 and, Ile56-Ile1. With the Subdomain F’ the interactions were: His18-Pro11, His 38-Asn3, Val 40-Gly2, Ser292-Ile1, Leu292-Ile1, and Thr318-Asn3. Side-chain of amino acid residues from HA fusion peptide Val18, Asp19, Gly20 and, Trp21 were in contact with Asn3, Asp5, Thr6, Gln9 and Pro11 residues of C3LB-HA AVP, making principally hydrogen bond interactions. Interestingly we found that the interaction between Gly20 and both Thr6 and Asp5 was stabilized by the others amino acids side-chains surrounding (Figure 8B), and all of them could be helping to keep the HA hairpin structure closed, not allowing the two conformational changes required to release and anchor the fusion peptide into the endosome membrane [63]. Moreover, it is known that HA Asp19 has to be neutralized by the endosome acid pH in order to participate in the opening of the fusion pore, but due to its interaction with the AVP Thr6 and Gln9, its function could be blocked, resulting in an inhibition of the viral infection [64]. Due that it has been demonstrated by using antibodies such as C179, 12D1, FI6V3, and CR8020 which interact with the stalk region, that the Helix A subdomain is highly conserved among the different HA subtypes [9,61,62,65,66,67], we suggest that the C3LB-HA AVP could inhibit influenza A virus with any HA subtype, as it was found in the antiviral assays with the H1N1 strains and H5N2 strain.

Figure 8. Interaction sites among AVPs derived of C-t of the HA1 subunit targeting influenza A HA (3LZG).

Figure 8

A) Sites of interaction. B) An amplification of C3LB-HA interaction with the proximal domain of HA.

It is important to point out that both, C1LB-HA and C3LB-HA peptides showed similar antiviral activity against H1N1 and H5N2 strains (Table 1), however their binding sites on the HA and their interactions with linear and discontinuous HA epitopes, were different, even that both AVPs shared a region with the same amino acid residues 279 to 285 (Figure 1D). In contrast the C2LB-HA peptide had a low antiviral activity against the H1N1 strains (Table 1), and the docking analysis against in silico predicted linear or discontinuous HA epitopes (Table 2), did not show any interaction with these HA epitopes, suggesting that this interaction could also be important for the antiviral activity, as it was found with the other C1LB-HA and C3LB-HA peptides.

In summary, even that docking results were limited to HA subtype (H1), they suggested that the antiviral activity by the designed AVPs could be the result of multiple interactions among each AVP and important regions of HA stalk domains, such as the helix A, helix B, loop B, fusion peptide (Figures 7, 8, Table 2). All those interactions could interrupt HA conformational changes required to carry out the membranes fusion event [53,22,30], not allowing the viral genome to be released into the cell. But for that, the peptides have to be bound to the target molecule before the viral particle is internalized by the endocytic vesicle; and also, the interactions between the HA and AVP should be stable at the low endosomal pH [11]. This proposal could be confirmed in the future using new AVPs with specific amino acids changes, or by mutation of specific sites in the HA. However, at the moment it is difficult to find a direct relationship between experimental and docking results. Docking is computational tool which suggests a possible mechanism to explain the antiviral effect of the peptides, due to their interactions with the viral target. But it importantly also, suggests those residues that can be modified or mutated in the future to see how peptide biological properties could be affected. Consequently, we are working on that issue.

Conclusions

The in vitro antiviral assays using AVPs designed through bioinformatics tools showed that this strategy was very useful to design specific peptides targeting important viral glycoproteins. The peptides derived from highly conserved sequences of HA1 and HA2 subunits showed antiviral activity in vitro in dose-response manner against two subtypes of influenza virus A with different origins, human, avian, and swine. Docking analysis depicted that these AVP could to be able of interacting with important regions of the HA, thus interfering with its function. This strategy is a potential successful alternative for searching anti-influenza drugs which might be developed into very effective antiviral drugs. But also, this strategy could be applicable for other enveloped viruses.

Funding Statement

This work is funded by CONACYT CB-99164, ICyT-DF 2009/225, and Secretaria de Investigación y Posgrado del IPN. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1. Yen HL, Webster RG (2009) Pandemic influenza as a current threat. Curr Top Microbiol Immunol 333: 3-24. doi: 10.1007/978-3-540-92165-3_1. PubMed: 19768398. [DOI] [PubMed] [Google Scholar]
  • 2. Colman PM, Lawrence MC (2003) The structural biology of type I viral membrane fusion. Nat Rev Mol Cell Biol 4: 309-319. doi: 10.1038/nrg1046. PubMed: 12671653. [DOI] [PubMed] [Google Scholar]
  • 3. Luo M (2012) Influenza virus entry. Adv Exp Med Biol 726: 201-221. doi: 10.1007/978-1-4614-0980-9_9. PubMed: 22297515. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Suzuki Y, Nei M (2002) Origin and evolution of influenza virus hemagglutinin genes. Mol Biol Evol 19: 501-509. doi: 10.1093/oxfordjournals.molbev.a004105. PubMed: 11919291. [DOI] [PubMed] [Google Scholar]
  • 5. Eckert DM, Kay MS (2010) Stalking influenza. Proc Natl Acad Sci U S A 107: 13563-13564. doi: 10.1073/pnas.1008672107. PubMed: 20660754. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Chen J, Lee KH, Steinhauer DA, Stevens DJ, Skehel JJ et al. (1998) Structure of the hemagglutinin precursor cleavage site, a determinant of influenza pathogenicity and the origin of the labile conformation. Cell 95: 409-417. doi: 10.1016/S0092-8674(00)81771-7. PubMed: 9814710. [DOI] [PubMed] [Google Scholar]
  • 7. Lin T, Wang G, Li A, Zhang Q, Wu C et al. (2009) The hemagglutinin structure of an avian H1N1 influenza A virus. Virology 392: 73-81. doi: 10.1016/j.virol.2009.06.028. PubMed: 19628241. [DOI] [PubMed] [Google Scholar]
  • 8. Steel J, Lowen AC, Wang TT, Yondola M, Gao Q et al. (2010) Influenza virus vaccine based on the conserved hemagglutinin stalk domain. mBio 1 PubMed: 20689752. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Xu R, Wilson IA (2011) Structural characterization of an early fusion intermediate of influenza virus hemagglutinin. J Virol 85: 5172-5182. doi: 10.1128/JVI.02430-10. PubMed: 21367895. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Thoennes S, Li ZN, Lee BJ, Langley WA, Skehel JJ et al. (2008) Analysis of residues near the fusion peptide in the influenza hemagglutinin structure for roles in triggering membrane fusion. Virology 370: 403-414. doi: 10.1016/j.virol.2007.08.035. PubMed: 17936324. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Chang DK, Cheng SF (2006) pH-dependence of intermediate steps of membrane fusion induced by the influenza fusion peptide. Biochem J 396: 557-563. doi: 10.1042/BJ20051920. PubMed: 16519629. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Cohen FS, Melikyan GB (2001) Implications of a fusion peptide structure. Nat Struct Biol 8: 653-655. doi: 10.1038/90341. PubMed: 11473245. [DOI] [PubMed] [Google Scholar]
  • 13. Lai AL, Park H, White JM, Tamm LK (2006) Fusion peptide of influenza hemagglutinin requires a fixed angle boomerang structure for activity. J Biol Chem 281: 5760-5770. PubMed: 16407195. [DOI] [PubMed] [Google Scholar]
  • 14. Cross KJ, Langley WA, Russell RJ, Skehel JJ, Steinhauer DA (2009) Composition and functions of the influenza fusion peptide. Protein Pept Lett 16: 766-778. doi: 10.2174/092986609788681715. PubMed: 19601906. [DOI] [PubMed] [Google Scholar]
  • 15. Russell CJ (2011) Stalking influenza diversity with a universal antibody. N Engl J Med 365: 1541-1542. doi: 10.1056/NEJMcibr1109447. PubMed: 22010922. [DOI] [PubMed] [Google Scholar]
  • 16. Cady SD, Schmidt-Rohr K, Wang J, Soto CS, Degrado WF et al. (2010) Structure of the amantadine binding site of influenza M2 proton channels in lipid bilayers. Nature 463: 689-692. doi: 10.1038/nature08722. PubMed: 20130653. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Cheng PK, To AP, Leung TW, Leung PC, Lee CW et al. (2010) Oseltamivir- and amantadine-resistant influenza virus A (H1N1). Emerg Infect Dis 16: 155-156. doi: 10.3201/eid1601.091304. PubMed: 20031069. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Janies DA, Voronkin IO, Studer J, Hardman J, Alexandrov BB et al. (2010) Selection for resistance to oseltamivir in seasonal and pandemic H1N1 influenza and widespread co-circulation of the lineages. Int J Health Geogr 9: 13. doi: 10.1186/1476-072X-9-13. PubMed: 20181276. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. de Jong MD, Tran TT, Truong HK, Vo MH, Smith GJ et al. (2005) Oseltamivir resistance during treatment of influenza A (H5N1) infection. N Engl J Med 353: 2667-2672. doi: 10.1056/NEJMoa054512. PubMed: 16371632. [DOI] [PubMed] [Google Scholar]
  • 20. De Clercq E (2006) Antiviral agents active against influenza A viruses. Nat Rev Drug Discov 5: 1015-1025. doi: 10.1038/nrd2175. PubMed: 17139286. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Burke JD, Fish EN (2009) Antiviral strategies: the present and beyond. Curr. Mol Pharmacol 2: 32-39. doi: 10.2174/1874-470210902010032. [DOI] [PubMed] [Google Scholar]
  • 22. Thakur N, Qureshi A, Kumar M (2012) AVPpred: collection and prediction of highly effective antiviral peptides. Nucleic Acids Res 40: W199-W204. doi: 10.1093/nar/gks450. PubMed: 22638580. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Real E, Rain JC, Battaglia V, Jallet C, Perrin P et al. (2004) Antiviral drug discovery strategy using combinatorial libraries of structurally constrained peptides. J Virol 78: 7410-7417. doi: 10.1128/JVI.78.14.7410-7417.2004. PubMed: 15220414. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Delcroix M, Riley LM (2010) Peptides for antiviral drug development. Pharmaceuticals 3: 448-470. [DOI] [PMC free article] [PubMed]
  • 25. Bai F, Town T, Pradhan D, Cox J, Ashish et al. (2007) Antiviral peptides targeting the west nile virus envelope protein. J Virol 81: 2047-2055. doi: 10.1128/JVI.01840-06. PubMed: 17151121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Rajik M, Jahanshiri F, Omar AR, Ideris A, Hassan SS et al. (2009) Identification and characterisation of a novel anti-viral peptide against avian influenza virus H9N2. Virol J 6: 74. doi: 10.1186/1743-422X-6-74. PubMed: 19497129. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Rajik M, Omar AR, Ideris A, Hassan SS, Yusoff K (2009) A novel peptide inhibits the influenza virus replication by preventing the viral attachment to the host cells. Int J Biol Sci 5: 543-548. PubMed: 19680476. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Costin JM, Jenwitheesuk E, Lok SM, Hunsperger E, Conrads KA et al. (2010) Structural optimization and de novo design of dengue virus entry inhibitory peptides. PLoS Negl Trop. Drosophila Inf Serv 4: e721. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Fleishman SJ, Whitehead TA, Ekiert DC, Dreyfus C, Corn JE et al. (2011) Computational design of proteins targeting the conserved stem region of influenza hemagglutinin. Science 332: 816-821. doi: 10.1126/science.1202617. PubMed: 21566186. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Jesús T, Rogelio L, Abraham C, Uriel L, et al G. (2012) Prediction of antiviral peptides derived from viral fusion proteins potentially active against herpes simplex and influenza A viruses. Bioinformation 8: 870-874. doi: 10.6026/97320630008870. PubMed: 23144542. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Schmidt AG, Yang PL, Harrison SC (2010) Peptide inhibitors of dengue-virus entry target a late-stage fusion intermediate. PLOS Pathog 6: e1000851. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Thompson JD, Gibson TJ, Plewniak F, Jeanmougin F, Higgins DG (1997) The CLUSTAL_X windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tools. Nucleic Acids Res 25: 4876-4882. doi: 10.1093/nar/25.24.4876. PubMed: 9396791. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Di Tommaso P, Moretti S, Xenarios I, Orobitg M, Montanyola A et al. (2011) T-Coffee: a web server for the multiple sequence alignment of protein and RNA sequences using structural information and homology extension. Nucleic Acids Res 39: W13-W17. doi: 10.1093/nar/gkr245. PubMed: 21558174. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Notredame C, Higgins DG, Heringa J (2000) T-Coffee: A novel method for fast and accurate multiple sequence alignment. J Mol Biol 302: 205-217. doi: 10.1006/jmbi.2000.4042. PubMed: 10964570. [DOI] [PubMed] [Google Scholar]
  • 35. Crooks GE, Hon G, Chandonia JM, Brenner SE (2004) WebLogo: a sequence logo generator. Genome Res 14: 1188-1190. doi: 10.1101/gr.849004. PubMed: 15173120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Gasteiger E, Hoogland C, Gattiker A, Duvaud S, Wilkins MR, Appel RD, Bairoch A (2005) Protein Identification and Analysis Tools on the ExPASy Server; (In) Walker JM: The Proteomics Protocols Handbook. Humana Press; pp. 571-607. [Google Scholar]
  • 37. Wilkins MR, Gasteiger E, Bairoch A, Sanchez JC, Williams KL et al. (1999) Protein identification and analysis tools in the ExPASy server. Methods Mol Biol 112: 531-552. PubMed: 10027275. [DOI] [PubMed] [Google Scholar]
  • 38. Haste Andersen P, Nielsen M, Lund O (2006) Prediction of residues in discontinuous B-cell epitopes using protein 3D structures. Protein Sci 15: 2558-2567. doi: 10.1110/ps.062405906. PubMed: 17001032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Parker JM, Guo D, Hodges RS (1986) New hydrophilicity scale derived from high-performance liquid chromatography peptide retention data: correlation of predicted surface residues with antigenicity and X-ray-derived accessible sites. Biochemistry 25: 5425-5432. doi: 10.1021/bi00367a013. PubMed: 2430611. [DOI] [PubMed] [Google Scholar]
  • 40. Carver T, Bleasby A (2003) The design of Jemboss: a graphical user interface to EMBOSS. Bioinformatics 19: 1837-1843. doi: 10.1093/bioinformatics/btg251. PubMed: 14512356. [DOI] [PubMed] [Google Scholar]
  • 41. Mullan LJ, Bleasby AJ (2002) Short EMBOSS User Guide. European Molecular Biology Open Software Suite. Brief Bioinform 3: 92-94. doi: 10.1093/bib/3.1.92. PubMed: 12002228. [DOI] [PubMed] [Google Scholar]
  • 42. Kozakov D, Hall DR, Beglov D, Brenke R, Comeau SR et al. (2010) Achieving reliability and high accuracy in automated protein docking: ClusPro, PIPER, SDU, and stability analysis in CAPRI rounds 13-19. Proteins 78: 3124-3130. doi: 10.1002/prot.22835. PubMed: 20818657. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Beaufays J, Lins L, Thomas A, Brasseur R (2012) In silico predictions of 3D structures of linear and cyclic peptides with natural and non-proteinogenic residues. J Pept Sci 18: 17-24. doi: 10.1002/psc.1410. PubMed: 22033979. [DOI] [PubMed] [Google Scholar]
  • 44. Maupetit J, Derreumaux P, Tufféry P (2010) A fast method for large-scale de novo peptide and miniprotein structure prediction. J Comput Chem 31: 726-738. PubMed: 19569182. [DOI] [PubMed] [Google Scholar]
  • 45. Zhang Y, Skolnick J (2004) Scoring function for automated assessment of protein structure template quality. Proteins 57: 702-710. doi: 10.1002/prot.20264. PubMed: 15476259. [DOI] [PubMed] [Google Scholar]
  • 46. Sobolev V, Sorokine A, Prilusky J, Abola EE, Edelman M (1999) Automated analysis of interatomic contacts in proteins. Bioinformatics 15: 327-332. doi: 10.1093/bioinformatics/15.4.327. PubMed: 10320401. [DOI] [PubMed] [Google Scholar]
  • 47. Xu X, Xie C, Edwards H, Zhou H, Buck SA et al. (2011) Inhibition of histone deacetylases 1 and 6 enhances cytarabine-induced apoptosis in pediatric acute myeloid leukemia cells. PLOS ONE 6: e17138. doi: 10.1371/journal.pone.0017138. PubMed: 21359182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Hayes PJ, Scott R, Wheeler J (1994) In vivo production of tumour necrosis factor-alpha and interleukin-6 in BALB/c mice inoculated intranasally with a high dose of respiratory syncytial virus. J Med Virol 42: 323-329. doi: 10.1002/jmv.1890420402. PubMed: 8046422. [DOI] [PubMed] [Google Scholar]
  • 49. Betancur-Galvis LA, Morales GE, Forero JE, Roldan J (2002) Cytotoxic and antiviral activities of Colombian medicinal plant extracts of the Euphorbia genus. Mem Inst Oswaldo Cruz 97: 541-546. PubMed: 12118288. [DOI] [PubMed] [Google Scholar]
  • 50. Pannecouque C, Daelemans D, De Clercq E (2008) Tetrazolium-based colorimetric assay for the detection of HIV replication inhibitors: revisited 20 years later. Nat Protoc 3: 427-434. doi: 10.1038/nprot.2007.517. PubMed: 18323814. [DOI] [PubMed] [Google Scholar]
  • 51. Sudo K, Konno K, Yokota T, Shigeta S (1994) A sensitive assay system screening antiviral compounds against herpes simplex virus type 1 and type 2. J Virol Methods 49: 169-178. doi: 10.1016/0166-0934(94)90041-8. PubMed: 7822458. [DOI] [PubMed] [Google Scholar]
  • 52. Mahy BWJ, Kangro HO (1996) Virology methods manual. London [etc.]. Academic Press. [Google Scholar]
  • 53. Galdiero S, Falanga A, Tarallo R, Russo L, Galdiero E et al. (2013) Peptide inhibitors against herpes simplex virus infections. J Pept Sci 19: 148-158. doi: 10.1002/psc.2489. PubMed: 23389903. [DOI] [PubMed] [Google Scholar]
  • 54. Sriwilaijaroen N, Suzuki Y (2012) Molecular basis of the structure and function of H1 hemagglutinin of influenza virus. Proc Jpn Acad Ser B Phys Biol Sci 88 pp. 226-249. PubMed: 22728439. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Xu Y, Rahman NA, Othman R, Hu P, Huang M (2012) Computational identification of self-inhibitory peptides from envelope proteins. Proteins 80: 2154-2168. doi: 10.1002/prot.24105. PubMed: 22544824. [DOI] [PubMed] [Google Scholar]
  • 56. Vanderlinden E, Göktas F, Cesur Z, Froeyen M, Reed ML et al. (2010) Novel inhibitors of influenza virus fusion: structure-activity relationship and interaction with the viral hemagglutinin. J Virol 84: 4277-4288. doi: 10.1128/JVI.02325-09. PubMed: 20181685. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57. Govorkova EA, Leneva IA, Goloubeva OG, Bush K, Webster RG (2001) Comparison of efficacies of RWJ-270201, zanamivir, and oseltamivir against H5N1, H9N2, and other avian influenza viruses. Antimicrob Agents Chemother 45: 2723-2732. doi: 10.1128/AAC.45.10.2723-2732.2001. PubMed: 11557461. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Liu S, Ji K, Chen J, Tai D, Jiang W et al. (2009) Panorama phylogenetic diversity and distribution of Type A influenza virus. PLOS ONE 4: e5022. doi: 10.1371/journal.pone.0005022. PubMed: 19325912. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. Russell RJ, Gamblin SJ, Haire LF, Stevens DJ, Xiao B et al. (2004) H1 and H7 influenza haemagglutinin structures extend a structural classification of haemagglutinin subtypes. Virology 325: 287-296. doi: 10.1016/j.virol.2004.04.040. PubMed: 15246268. [DOI] [PubMed] [Google Scholar]
  • 60. Wang TT, Tan GS, Hai R, Pica N, Ngai L et al. (2010) Vaccination with a synthetic peptide from the influenza virus hemagglutinin provides protection against distinct viral subtypes. Proc Natl Acad Sci U S A 107: 18979-18984. doi: 10.1073/pnas.1013387107. PubMed: 20956293. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61. Corti D, Voss J, Gamblin SJ, Codoni G, Macagno A et al. (2011) A neutralizing antibody selected from plasma cells that binds to group 1 and group 2 influenza A hemagglutinins. Science 333: 850-856. doi: 10.1126/science.1205669. PubMed: 21798894. [DOI] [PubMed] [Google Scholar]
  • 62. Su CT, Schönbach C, Kwoh CK (2013) Molecular docking analysis of 2009-H1N1 and 2004-H5N1 influenza virus HLA-B*4405-restricted HA epitope candidates: implications for TCR cross-recognition and vaccine development. BMC Bioinformatics 14 Suppl 2: S21. doi: 10.1186/1471-2105-14-S2-S21. PubMed: 23368875. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63. Lorieau JL, Louis JM, Schwieters CD, Bax A (2012) pH-triggered, activated-state conformations of the influenza hemagglutinin fusion peptide revealed by NMR. Proc Natl Acad Sci U S A 109: 19994-19999. doi: 10.1073/pnas.1213801109. PubMed: 23169643. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64. Lorieau JL, Louis JM, Bax A (2010) The complete influenza hemagglutinin fusion domain adopts a tight helical hairpin arrangement at the lipid:water interface. Proc Natl Acad Sci U S A 107: 11341-11346. doi: 10.1073/pnas.1006142107. PubMed: 20534508. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Harris AK, Meyerson JR, Matsuoka Y, Kuybeda O, Moran A et al. (2013) Structure and accessibility of HA trimers on intact 2009 H1N1 pandemic influenza virus to stem region-specific neutralizing antibodies. Proc Natl Acad Sci U S A 110: 4592-4597. doi: 10.1073/pnas.1214913110. PubMed: 23460696. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66. Okuno Y, Isegawa Y, Sasao F, Ueda S (1993) A common neutralizing epitope conserved between the hemagglutinins of influenza A virus H1 and H2 strains. J Virol 67: 2552-2558. PubMed: 7682624. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. Ekiert DC, Bhabha G, Elsliger MA, Friesen RH, Jongeneelen M et al. (2009) Antibody recognition of a highly conserved influenza virus epitope. Science 324: 246-251. doi: 10.1126/science.1171491. PubMed: 19251591. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68. Ponomarenko J, Bui HH, Li W, Fusseder N, Bourne PE et al. (2008) ElliPro: a new structure-based tool for the prediction of antibody epitopes. BMC Bioinformatics 9: 514. doi: 10.1186/1471-2105-9-514. PubMed: 19055730. [DOI] [PMC free article] [PubMed] [Google Scholar]

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