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. 2026 Jan 28;48(2):142. doi: 10.3390/cimb48020142

Design and In Vitro Evaluation of Novel GC373-like SARS-CoV-2 Main Protease Inhibitors

Aleksandra A Kuznetsova 1,, Aleksandr P Makhin 2,, Anatoliy A Bulygin 1, Anastasia A Andrianova 2, Vasily S Miturich 2, Renata I Zagitova 2, Vladimir I Shmygarev 2, Anastasia A Fadeeva 2, Oleg N Yatskin 2, Olga A Belozerova 2, Ivan V Smirnov 2, Ilia V Yampolsky 2,3, Zinaida M Kaskova 2,3,*, Nikita A Kuznetsov 1,4,*
Editor: Alina Crenguta Nicolae
PMCID: PMC12939465  PMID: 41751406

Abstract

Significant advances in coronavirus immunoprophylaxis have enabled the control of the SARS-CoV-2 pandemic. However, the continued emergence of SARS-CoV-2 variants with immune escape potential highlights the need for effective direct-acting antivirals targeting conserved viral enzymes. The SARS-CoV-2 main protease (Mpro) remains one of the most promising antiviral drug targets due to its essential role in viral replication and the high conservation of its active site across coronavirus variants. Building upon the established GC373 scaffold, we designed, synthesized, and biochemically evaluated two novel GC373-like peptidomimetic inhibitors incorporated modified glutamine-mimic residues. These analogs were designed to enhance solubility and metabolic resilience while retaining key recognition features within the Mpro active site. Both compounds demonstrated micromolar inhibitory activity in enzymatic assays, supported by molecular docking and MM-PBSA analyses consistent with stable binding. The proposed inhibitors represent viable scaffolds for further optimization of electrophilic warheads and S1/S2 residue interactions. These findings contribute to the rational design of next-generation Mpro inhibitors and align with ongoing efforts to expand the chemical space of SARS-CoV-2 antiviral agents.

Keywords: SARS-CoV-2, COVID-19, peptidomimetic inhibitor, synthesis, antiviral drug design

1. Introduction

The COVID-19 pandemic represents the third major coronavirus outbreak [1,2]. SARS-CoV-2 is a highly mutable virus that, since its emergence in 2019, has evolved and become more contagious, although less fatal [3,4]. New variants have necessitated ongoing development of effective vaccines [5]. An alternative approach to combating SARS-CoV-2 is the direct inhibition of its essential enzymes, particularly the main protease (Mpro), which plays a critical role in viral replication. Currently, a few enzyme-targeted drugs have been approved: remdesivir [6], molnupiravir [7], nirmatrelvir [8,9], and ibuzatrelvir [10,11]. Among these, nirmatrelvir, a Mpro inhibitor, has proven to be the most successful. It is now available in tablet form, typically combined with ritonavir [12].

Despite its efficacy, as a prototype, nirmatrelvir (PF-07321332, PF-332) had certain limitations, including moderate solubility and bioavailability, susceptibility to metabolic degradation, and reduced effectiveness against certain Mpro polymorphs (e.g., L50F, E166V, L167F) [8,13,14,15,16]. Efforts to overcome these limitations have included the development of compounds with improved pharmacokinetic properties and reduced sensitivity to protease mutations [10,17,18,19,20]. Similarly, potent nanomolar Mpro inhibitors, such as PF-00835231 (PF-231) [21,22,23] and GC373 [24,25,26], as well as their analogs [27], remain limited by solubility and oral bioavailability.

Most peptidomimetic Mpro inhibitors currently under study incorporate a glutamic (pyrrolidin-2-one) residue, which is essential for protease recognition [28,29,30,31]. However, there remains a need for novel derivatives, featuring Gln mimic residues, that maintain high inhibitory potency while potentially improving pharmacokinetic and solubility properties [32,33].

In this study, we designed and synthesized new GC373-inspired Mpro inhibitors incorporating modifications predicted to influence solubility and without sacrificing binding properties. The compounds were evaluated using a combination of molecular modeling, including molecular dynamics simulations and in vitro enzymatic assays. This approach aims to provide a framework for the rational design of next-generation peptidomimetic SARS-CoV-2 Mpro inhibitors.

2. Materials and Methods

2.1. Computational Analysis

Initial structures of the complexes of SC2Mpro dimer with the inhibitors were obtained from the Protein Data Bank: 6XHM with PF-231 [21], 7SI9 with PF-332 [34], and 7CB7 with GC373 [35]. The dimeric form of Mpro from 6XHM entry corresponding to the Wuhan strain of SARS-CoV-2 was used as a basic structure for the modeling of new compounds. New compounds were docked to the protein by aligning with GC373. The simulations were carried out for the complexes without a covalent bond between the enzyme and an inhibitor. The parameters of all ligands were calculated with the help of the Acpype online service (www.bio2byte.be/acpype/ (accessed on 02 January 2026)).

The simulations were performed with GROMACS (version 2020.6)39 and the AMBER ff99SB-ILDN force field [36]. Preparation of the structures was performed using GROMACS built-in programs. The simulations were performed at 300 K with histidine residues protonated at the ε-positions. The protonation state was chosen according to the protein crystal structures, in particular 6XHM, where histidine residues form hydrogen bonds as they are protonated in ε-positions. The protonation states and formal charges of all inhibitors were assigned by analogy to GC373, assuming the neutral form. The Verlet cutoff scheme [37] was chosen with a cutoff of 1.2 nm for both van der Waals and electrostatic interactions, whereas H-bonds were constrained by the LINCS method [37]. Electrostatic interactions were computed in PME [38]. The solvated systems were minimized through steepest-descent minimization. After that, the systems were equilibrated in two stages with restraints on DNA and protein heavy atoms: for 200 ps in the NVT ensemble and for subsequent 200 ps in the NPT ensemble. Productive dynamics were implemented with a 2 fs time step in the NPT ensemble. All the simulations were carried out in duplicate. Final structures in two trajectories of each complex were the same within a fluctuation magnitude.

Binding free energies of complexes were calculated by combining MD data with the molecular mechanic/Poisson–Boltzmann surface area method. The “g_mmpbsa” script (version 3.0) for GROMACS data [39] was used to calculate the free energies of MM-PBSA. Using this script, electrostatic, VdW, polar solvation, and solvent accessible surface area (SASA) energies can be calculated, which combined give the total binding energy. For calculations, 500 consecutive frames from the last 100 ns of each trajectory were used. Those were the frames where each compound had the maximum number of contacts with the enzyme. Although the g_mmpbsa script provides relative binding energies, the method is appropriate for a comparative analysis and ranking of closely related ligands.

2.2. Synthesis of GC373-OxIm and GC373-Hyd

Full information of the synthetic procedures for GC373-OxIm and GC373-Hyd is available in the Supporting Information file.

2.2.1. Synthesis of Benzyl (4-Methyl-1-oxo-1-((1-oxo-3-(2-oxoimidazolidin-1-yl)propan-2-yl)amino) pentan-2-yl)carbamate (GC373-OxIm)

To the solution of S-ethyl 2-(2-(((benzyloxy)carbonyl)amino)-4-methylpentanamido)-3-(2-oxoimid-azolidin-1-yl)propanoate (49 mg, 0.10 mmol, 1 eq.) in 1,4-dioxane (2 mL) under an argon atmosphere, triethylsilane (48 μL, 0.42 mmol, 4 eq.) and 5% Pd/C (11 mg, 5 mol%) were added. The mixture was stirred at r.t. for 30 min. The formation of aldehyde was monitored by LC-MS. Then Pd/C was removed by filtration through Celite. After the removal of Pd/C by filtration through Celite, the reaction mixture was evaporated. The resulting residue was purified by column chromatography (SiO2; CHCl3-MeOH gradient from 98:2 to 95:5) to yield GC373-OxIm as a colorless oil (8 mg; 19%). Due to the low stability of the resulting aldehyde GC373-OxIm at r.t., it was isolated and purified as quickly as possible and stored in the freezer at –80 °C.

2.2.2. Analytical Data for GC373-OxIm

Rf = 0.45 (CHCl3–MeOH, 9:1). 1H NMR (700 MHz, CDCl3): δ 9.16 (s, 1H), 7.39–7.29 (m, 5H), 5.24–4.98 (m, 2H), 4.53–3.16 (m, 8H), 1.83–1.45 (m, 3H), 1.05–0.79 (m, 6H). HRMS (ESI+) m/z: calc. for C20H29N4O5+ ([M+H]+) 405.2132, found: 405.2137.

2.2.3. Synthesis of Benzyl (1-((1-(2,4-Dioxoimidazolidin-1-yl)-3-oxopropan-2-yl)amino)-4-methyl-1-oxopentan-2-yl)carbamate (GC373-Hyd)

To the mixture of THF (200 μL) and DMSO (50 μL, 0.70 mmol, 8 eq.) at −78 °C under an argon atmosphere, oxalyl chloride (50 μL, 0.35 mmol, 4 eq.) was added dropwise with stirring. The reaction mixture was stirred at −78 °C for 30 min, after which a solution of benzyl (1-((1-(2,4-dioxoimidazolidin-1-yl)-3-hydroxypropan-2-yl)amino)-4-methyl-1-oxopentan-2-yl)carbamate (37 mg, 0.09 mmol, 1 eq.) THF (1 mL) was added dropwise. The reaction mixture was stirred at −78 °C for 1 h, followed by the addition of triethylamine (98 μL, 0.70 mmol; 8 eq.). The reaction was then gradually warmed to −30 °C over 30 min, stirred at −30 °C for an additional 1 h, then gradually warmed up to 0 °C over 30 min, diluted with THF (2 mL), and quenched with saturated ammonium chloride solution (2 mL). The mixture was extracted with THF (3 × 5 mL). The organic layer was dried over anhydrous Na2SO4, and then the solvent was evaporated. The crude residue was purified by column chromatography (SiO2; CHCl3–MeOH gradient from 98:2 to 95:5) to yield product GC373-Hyd (5 mg, 13%) as a colorless oil. Due to the low stability of the resulting aldehyde GC373-Hyd at r.t., it was isolated and purified as quickly as possible and stored in the freezer at –80 °C.

2.2.4. Analytical Data for GC373-Hyd

Rf = 0.31 (CHCl3–MeOH = 9:1). 1H NMR (300 MHz, CDCl3): δ 9.58 (d, J = 10.4 Hz, 1H), 9.15–8.78 (m, 1H), 7.75 (dd, J = 22.0, 7.1 Hz, 1H), 7.38–7.23 (m, 5H), 5.50 (d, J = 8.8 Hz, 1H), 5.16–5.01 (m, 2H), 4.74–3.56 (m, 6H), 1.64 (s, 3H), 1.03–0.54 (m, 6H). 13C NMR (75 MHz, CDCl3) δ 173.9, 170.7, 157.8, 156.7, 156.6, 136.1, 128.7, 128.5, 128.4, 67.6, 58.3, 53.7, 51.4, 41.6, 41.2, 24.9, 23.0, 21.9. HRMS (ESI+) m/z: calc. for C20H27N4O6+ ([M+H]+) 419.1925, found: 419.1936.

2.3. Protease Expression and Purification

The full-length Mpro protein was purified as described [40]. Mpro was concentrated up to 4 mg/mL in 50 mM Tris pH 7.5, glycerol solution was added to make up 50% of the volume, and enzyme solution was stored at–80 °C.

2.4. The Peptide Substrate and Standard Inhibitors

The kinetic assays were implemented using the FRET substrate (FRET-S), i.e., Dabcyl-KTSAVLQ↓SGFRKM-E(Edans)-NH2 (Institute of Bioorganic Chemistry, Russian Academy of Sciences (RAS), Moscow, Russia), and standard covalent inhibitor PF-00835231 (Selleckchem, Houston, TX, USA). FRET-S contains a main-protease cleavage site indicated by the arrow and was utilized as the substrate in the FRET-based cleavage assay. Stock solution of PF-00835231 was prepared in DMSO (final concentration 5.0 mM). Stock solutions of GC373-OxIm and GC373-Hyd were prepared in acetonitrile (final concentration 10 mM).

2.5. Pre-Steady-State Kinetic Assay

For the preliminary screening of Mpro inhibitors, stopped-flow measurements with fluorescence detection were carried out. An SX.20 stopped-flow spectrometer (Applied Photophysics Ltd., Leatherhead, Surrey, UK) equipped with a 150 W Xe arc lamp and an optical cell with a 2 mm path length was used, and the dead time is 1.0 ms. The fluorescence of Edans was excited at λex = 340 nm and monitored at λem > 435 nm as transmitted by filter GG-435 (Schott, Mainz, Germany). All the experiments were conducted in reaction buffer consisting of 20 mM TrisHCl pH 7.3, 100 mM NaCl, 1.0 mM EDTA, and 1.0 mM DTT. Mpro (2.5 µM) was incubated with inhibitor (2.5 µM PF-231, 25 µM GC373, boceprevir, telaprevir, GC373-OxIm or GC373-Hyd) or the same volume of DMSO/acetonitrile for 15 min at 4 °C in reaction buffer. The solutions containing the enzyme or enzyme/inhibitor and substrate were loaded into two separate syringes of the stopped-flow instrument and were incubated for an additional 5 min at 25 °C prior to mixing. The reported concentrations are those in the reaction chamber after the mixing. The trace shown is an average of three or more individual experiments.

2.6. Steady-State Kinetic Assay

In order to determine the inhibition constant KI, 150 nM Mpro was incubated with different concentrations of inhibitor (from 1 µM to 0.5 mM) for 15 min at 4 °C in reaction buffer. The dilutions of inhibitor were made in such way that the final adding volume was the same for each concentration of inhibitor. Then, an equal volume of FRET-S solution (15–35 μM) was added to initiate the reaction (final volume 32 μL). The fluorescence signal of the reaction was monitored for 30 min at λexem = 355/460 nm (Thermo Scientific Varioskan Lux fluorimeter, Thermo Fisher Scientific Inc., Waltham, MA, USA). The initial rate of FRET-S cleavage by Mpro in the presence and absence of inhibitors at several substrate concentrations was calculated by linear regression for the initial region of the kinetic progress curves. Kinetic constants (Vmax and KM) were derived by fitting the data without inhibitor to the Michaelis–Menten equation, V = Vmax × [S]/(KM + [S]), kcat = Vmax/[E]. The inhibition constant KI was derived by fitting the kinetic data with inhibitor to the equation V = kcat × [E0] × [S0]/([S0] + (KM × (1 + [I0]/KI))).

3. Results and Discussion

3.1. Design of New Covalent Inhibitors

Each peptidomimetic Mpro inhibitor has four essential residues/substituents that correspond to the four active site pockets of the enzyme occupied by its natural substrate. In the case of Mpro, the substrate has an AVLQS-sequence (1A), where A, L, Q, and S are the most important. S4, S2, S1, and S0 are the corresponding pockets of the protease (Figure 1B). In covalent inhibitors, S0-substituent, called the “warhead”, is responsible for covalent binding with Cys145 (Figure 1A). S1-substituent must resemble glutamine and have one H-bond acceptor and one H-bond donor to bind His163 and Glu166, respectively (Figure 1A,B). S2-substituent should be hydrophobic and resemble leucine. And, finally, S4-substituent may have various shapes as the S4-pocket is relatively flexible and can accommodate large aromatic structures, such as substituted indole in PF-231, long and bulky aliphatic structures such as that of boceprevir, or relatively small groups like trifluorinated carbon in nirmatrelvir (Figure 2).

Figure 1.

Figure 1

SARS-CoV-2 Mpro active site. (A) Schematic representation of natural peptide substrate in the active site sub-pockets S0-S4; (B) spatial structure of the Mpro active site pockets S0–S4.

Figure 2.

Figure 2

Position of side-chains of peptidomimetic inhibitors PF-231, boceprevir, and nirmatrelvir in the sub-pockets S0-S4 of the Mpro active site.

Results of numerous studies of different substituents confirm that there is a strong correlation between hydrophobicity of the chemical group of the warhead and bioavailability of the whole compound. A bulky hydrophobic warhead, such as arylketone, gives better bioavailability but severely decreases solubility and binding ability [21,41,42], whereas very polar warheads, such as hydroxyketone or ketoamide, decrease bioavailability [8,23,43]. S1- and S2-substituents were not extensively varied as S1- and S2-pockets impose significant restrictions on corresponding substituents. It has been shown, however, that S1-substituent does not resemble glutamine and does not have an H-bond acceptor or H-bond donor group, and it is far inferior to glutamine or its analogs [44,45]. A non-hydrophobic, significantly bigger or significantly smaller S2-substituent also disrupts binding [9,27,40]. S4-substituent is the most variable part of all studied Mpro inhibitors. There is a moderate correlation between its hydrophobicity and bioavailability of the compound [9,40,46], but usually, the main purpose of varying S4-substituent is to achieve better binding. Currently, several very different moieties, from bulky and aromatic to small and aliphatic, have been found to ensure strong binding [9,21,40,46,47,48].

Based on the data above, we designed new GC373-like S1-substituents featuring a larger polar surface area, which should presumably be more water-soluble compared to the conventional β-(S-2-oxopyrrolidine-3-yl)-alaninal moiety, as supported by in silico SwissADME predictions (see SI [49,50,51,52,53,54,55,56,57,58], Table S1) [59], namely β-(S-2-oxoimidazolidine-3-yl)-alaninal (GC373-OxIm) and β-(S-2,4-imidazolidinedione-3-yl)-alaninal (GC373-Hyd) moieties (Scheme 1).

Scheme 1.

Scheme 1

Structures of GC373 and two new derivatives of GC373 compounds, GC373-OxIm and GC373-Hyd, containing β-(S-2-oxoimidazolidine-3-yl)-alaninal or β-(S-2,4-imidazolidinedione-3-yl)-alaninal S1-substituents, respectively.

3.2. Computational Analysis of New Mpro Inhibitors

In order to predict the inhibitory capacity of the proposed compounds, the binding efficiency of inhibitors was determined using molecular dynamics computer modeling. Known protease inhibitors (PF-231, PF-332, and GC373 (an active form of GC376)) were selected for comparative analysis. The crystal structure of the complex of Mpro protease with the PF-231 inhibitor (PDB ID: 6XHM) was used as a starting structure for modeling the complex of Mpro protease with the chosen compounds (Figure 3). Molecules of all new compounds were located at the site of PF-231, which was possible due to their structural similarity. After obtaining the initial complexes with the new compound, MD simulations were performed for at least 300 ns. Simulation of complexes with known inhibitors also lasted at least 300 ns. Then, the last 5 ns was selected from the obtained molecular dynamics trajectories to calculate the binding energy of the inhibitor to the protease using the MM/PBSA (molecular mechanics/Poisson–Boltzmann surface area) method.

Figure 3.

Figure 3

The complexes of Mpro with GC373, nirmatrelvir, PF-231, and two new compounds, GC373-OxIm and GC373-Hyd. Typical H-bonds are depicted by the dashed black lines. Heteroatoms in enzyme amino acid residues are depicted in blue (nitrogen), red (oxygen), and yellow (sulfur).

The molecular dynamics simulations and MM-PBSA calculations of PF-231, PF-332, and GC373 inhibitors as well as new compounds were performed (Table 1). We found that average binding energies of the two new compounds indicate a comparable or slightly improved binding efficacy relative to GC373: −137 and −139 kJ/mol for GC373-OxIm and GC373-Hyd, respectively, versus −130 kJ/mol for GC373.

Table 1.

MM-PBSA calculations of the complexes of dimeric Mpro with the known and new inhibitors (average ± SD, kJ/mol). The best from two duplicate trajectories of each complex result of calculated binding energies is provided.

Inhibitor Electrostatic Energy SASA Energy Polar Solvation Energy Van Der Waals Energy Binding Energy
PF-00835231 −106 ± 10 −23 ± 1 245 ± 10 −257 ± 12 −141 ± 13
PF-07321332
(nirmatrelvir)
−86 ± 11 −21 ± 1 206 ± 11 −236 ± 13 −138 ± 13
GC373 −86 ± 11 −21 ± 1 206 ± 11 −229 ± 14 −130 ± 13
GC373-OxIm −85 ± 10 −20 ± 1 208 ± 11 −240 ± 12 −137 ± 12
GC373-Hyd −87 ± 11 −21 ± 1 205 ± 12 −236 ± 13 −139 ± 13

Analysis of structures in the course of MD trajectories of Mpro complexes with GC373-OxIm and GC373-Hyd (Figure 4) revealed that positionings of the new compounds are very similar to that of GC373. We noted only a slight difference in position of Cβ of S1-substituent that, however, did not affect the H-bond configuration of this region of the inhibitor molecule. Indeed, the overall H-bond configuration of GC373-OxIm and GC373-Hyd was completely the same as in the case of GC373. However, the average number of H-bonds between the protein and new compounds slightly decreased to 4.8 and 4.7, respectively, if compared to GC373. Despite this decrease in the average number of H-bonds, this number is enough to stabilize the inhibitor molecule in the active site of protease, as supported by this parameter for nirmatrelvir (4.6 H-bonds over MD trajectory).

Figure 4.

Figure 4

Number of H-bonds along MD simulation trajectory. The maximum and average numbers of H-bonds formed by inhibitors are shown in the left panel.

3.3. Synthesis of Inhibitor Compounds

Target compounds GC373-OxIm and GC373-Hyd were synthesized from previously obtained non-natural amino acid methyl esters methyl 2-amino-3-(2-oxoimidazolidin-1-yl)propanoate and 2-amino-3-(2,4-dioxoimidazolidin-1-yl)propanoate [60], respectively, in 4–8 steps. Both aldehydes GC373-OxIm and GC373-Hyd were highly unstable in the reaction mixture and during isolation, undergoing acid- and base-catalyzed condensation, which complicated their synthesis and purification (Scheme 2A). For inhibition activity tests, small amounts of synthetic aldehydes GC373-OxIm and GC373-Hyd were thawed immediately prior to measurements.

Scheme 2.

Scheme 2

Synthesis of target aldehyde inhibitors GC373-OxIm and GC373-Hyd. (A) Synthesis of target aldehydes: (i) Cbz-L-Leu-OSu, Et3N, CH3CN, r.t.; (ii) Cbz-L-Leu-OSu, Et3N, DMF, r.t.; (iii) NaBH4, CH3OH, THF; (iv) oxalyl chloride, dimethyl sulfoxide, Et3N, THF, Ar, −78 °C; (B) Fukuyama synthesis of GC373-OxIm and in situ preparation of bisulfite adduct 6: (v) NaOH aq., 1,4-dioxane, r.t.; (vi) ethyl chloroformate, Et3N, CH2Cl2, Ar, −10 °C; (vii) EtSH, DMAP; (viii) Et3SiH, Pd/C, 1,4-dioxane, Ar, r.t.; (ix) NaHSO3 aq., 1,4-dioxane, r.t.

Conventional approaches for generating aldehyde GC373-OxIm, including direct DIBAL-H reduction of 2a and various alcohol oxidation protocols (Swern [61], Parikh–Doering [62], Corey–Kim [63], Dess–Martin [64,65,66]), resulted in low yields (see Supporting Information for more detail). To overcome these limitations, a Fukuyama reduction [67,68,69] strategy was employed, with ethanethiol ester 5 serving as a key intermediate. Notably, reversed-phase chromatography was introduced as a critical purification step of 5, preventing palladium catalyst deactivation in Fukuyama reduction. Furthermore, an unreported side reaction in Fukuyama reductions, wherein aldehyde 3a undergoes acetone-mediated condensation, was identified and successfully mitigated by replacing acetone with 1,4-dioxane as a solvent. The bisulfite trapping method was implemented, allowing the in situ conversion of aldehyde 3a (GC373-OxIm) to its bisulfite adduct 6 (Scheme 2B). Unlike aldehyde, the bisulfite derivative 6 was stable at room temperature, highly water-soluble, and readily purified via reversed-phase chromatography. Due to these advantages, in gram-scale procedures, aldehyde 3a (GC373-OxIm) was exclusively used in its bisulfite-bound form 6. These methodological advancements provide a scalable and robust synthetic route for highly reactive aldehydes, offering practical solutions for challenges associated with their isolation and handling. Although experimental solubility measurements could not be performed due to their low stability, in silico predicted LogS and LogP values suggest improved aqueous compatibility relative to GC373 (Table S1 in SI). Literature data suggest that under physiological conditions, the highly soluble bisulfite derivative 6 can revert to its active aldehyde form [70].

3.4. In Vitro Evaluation of Inhibition Activity

Our previous studies demonstrated that pre-steady-state analysis is an effective platform for screening small-molecule compounds to reveal their inhibitory potential [71]. A pre-steady-state kinetic assay, utilizing Förster resonance energy transfer (FRET), was conducted to characterize the catalytic cleavage of a peptide substrate (FRET-S) in the presence of inhibitors (PF-231, GC373, boceprevir, telaprevir, GC373-OxIm 3a, and GC373-Hyd 3b). The Mpro enzyme was pre-incubated with an inhibitor and kept on ice for 15 min to form an enzyme–inhibitor complex. Substrate hydrolysis was then initiated using stopped-flow fast mixing with this complex, and the FRET signal was monitored over 1000 s. Catalytic cleavage of the FRET-S peptide by Mpro increases the FRET signal due to the peptide bond hydrolysis and the release of the reaction product.

The kinetics of FRET-S cleavage by free Mpro enzyme and its complexes with known protease inhibitors (PF-231, GC-373, boceprevir, and telaprevir) as well as novel compounds (GC373-OxIm 3a and GC373-Hyd 3b) were compared (Figure 5A). Residual enzymatic activity was quantified by calculating the initial slope of the FRET signal increase (Figure 5B). Comparative analysis of the data for known and new inhibitors revealed that both GC373-OxIm and GC373-Hyd significantly inhibit Mpro enzymatic activity, demonstrating their potency as effective Mpro inhibitors.

Figure 5.

Figure 5

Comparative analysis of Mpro inhibition by inhibitors. (A) Inhibition profiles of various inhibitors; (B) residual enzymatic activity calculated from the initial slope of kinetic curves. The activity of free enzyme was normalized to 1.0. Concentrations used were 2.5 µM for FRET-S and enzyme, and 25 µM for inhibitors, except for PF-231 (2.5 µM).

Steady-state analysis of the inhibition efficacy of the compounds enabled the determination of the inhibition constant KI. The inhibition constant was calculated from the dependence of the initial hydrolysis rate on inhibitor concentration (see Figures S58 and S59 in SM for kinetic experiments). The KI values were determined as 0.92 ± 0.08 µM for GC373-OxIm and 2.0 ± 0.1 µM for GC373-Hyd. Micromolar KI values reflect the first iteration of structural optimization. While these inhibitors are less potent than clinical Mpro blockers, they establish a viable scaffold for further tuning of electrophilic warheads and P1/P2 residues. Suboptimal synthetic yields indicate the need for alternative and more robust electrophilic motifs in future analogs, such as nitriles and ketoamides, which may also mitigate potential off-target effects associated with aldehyde warheads.

4. Conclusions

In this study, we designed and characterized two novel GC373-inspired peptidomimetic inhibitors of SARS-CoV-2 main protease (Mpro), GC373-OxIm and GC373-Hyd. Guided by the structural analysis of the Mpro active site, we introduced glutamine-mimicking residues aimed at modulating physicochemical properties while preserving favorable binding interactions. Both compounds were synthesized and subjected to a pre-steady-state kinetic assay [71], which provided preliminary insight into their inhibition of Mpro. While their potency remains moderate (KI = 0.9 μM and 2.0 μM) compared with clinically approved inhibitors, these results serve primarily to validate the applied design strategy rather than to propose immediate therapeutic candidates. Potential improvements in solubility and other pharmacokinetic properties were supported by in silico calculations. Overall, this work provides a rational, methodology-driven framework for the development of next-generation Mpro inhibitors incorporating glutamine-like residues, contributing to ongoing research on SARS-CoV-2 and related coronaviruses.

Acknowledgments

During the preparation of this work, the authors used AI-assisted language editing (xAI) in order to improve the readability and language. After using this tool/service, the authors reviewed and edited the content as needed and take full responsibility for the content of the published article.

Abbreviations

The following abbreviations are used in this manuscript:

ADME Absorption, Distribution, Metabolism, and Excretion
AMBER Assisted Model Building with Energy Refinement
COVID Coronavirus Disease
DIBAL-H Diisobutylaluminium Hydride
DMSO Dimethyl Sulfoxide
DNA Deoxyribonucleic Acid
DTT Dithiothreitol
EDTA Ethylenediaminetetraacetic Acid
ESI Electrospray Ionization
FRET Förster Resonance Energy Transfer
GROMACS GROningen MAchine for Chemical Simulations
HRMS High-Resolution Mass Spectrometry
LC-MS Liquid Chromatography–Mass Spectrometry
LINCS Linear Constraint Solver
MD Molecular Dynamics
MM/PBSA Molecular Mechanics/Poisson–Boltzmann Surface Area
NMR Nuclear Magnetic Resonance
NPT Constant Number of Particles, Pressure, and Temperature Ensemble
NVT Constant Number of Particles, Volume, and Temperature Ensemble
PDB Protein Data Bank
PME Particle Mesh Ewald
SARS-CoV-2 Severe Acute Respiratory Syndrome Coronavirus 2
SASA Solvent Accessible Surface Area
THF Tetrahydrofuran
VdW Van der Waals

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/cimb48020142/s1.

cimb-48-00142-s001.zip (3.8MB, zip)

Author Contributions

A.A.K.—Investigation, Methodology, Validation, Visualization, Writing—Original Draft. A.A.B.—Investigation, Methodology, Software, Visualization, Writing—Original Draft, Writing—Review and Editing. A.P.M.—Data curation, Investigation, Methodology, Validation, Visualization, Writing—Original Draft, Writing—Review and Editing. A.A.A.—Investigation. V.S.M.—Investigation. R.I.Z.—Investigation. V.I.S.—Methodology, Investigation, Supervision. A.A.F.—Investigation. O.N.Y.—Investigation. O.A.B.—Investigation. I.V.S.—Funding acquisition, Resources. I.V.Y.—Funding acquisition, Project administration, Resources, Supervision, Writing—Review and Editing. Z.M.K.—Conceptualization, Data curation, Project administration, Supervision, Visualization, Writing—Original Draft, Writing—Review and Editing. N.A.K.—Conceptualization, Funding acquisition, Methodology, Project administration, Resources, Supervision, Writing—Original Draft, Writing—Review and Editing. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.

Conflicts of Interest

The authors declare the following financial interests/personal relationships, which may be considered as potential competing interests: A.A.K., A.A.B., I.V.Y., Z.M.K. and N.A.K. have patent RU 2840908 issued to ICBFM SB RAS, IBCh RAS. The other authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Funding Statement

The part of this work involving computational modeling of new compounds and enzyme assays was supported by Russian Ministry of Science and Higher Education project no. 125012300658-9. The reported study was funded by RSF project number 25-76-30006, https://rscf.ru/project/25-76-30006/. The experiments were partially performed using the equipment of the Center for Collective Use of Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences (CKP IBCh RAS).

Footnotes

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References

  • 1.Dong E., Du H., Gardner L. An Interactive Web-Based Dashboard to Track COVID-19 in Real Time. Lancet Infect. Dis. 2020;20:533–534. doi: 10.1016/s1473-3099(20)30120-1. Erratum in Lancet Infect. Dis. 2020, 20, e215. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Wu F., Zhao S., Yu B., Chen Y.-M., Wang W., Song Z.-G., Hu Y., Tao Z.-W., Tian J.-H., Pei Y.-Y., et al. A New Coronavirus Associated with Human Respiratory Disease in China. Nature. 2020;579:265–269. doi: 10.1038/s41586-020-2008-3. Erratum in Nature 2020, 580, e7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Chan-Yeung M., Xu R.-H. SARS: Epidemiology. Respirology. 2003;8:S9–S14. doi: 10.1046/j.1440-1843.2003.00518.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Kannan S., Shaik Syed Ali P., Sheeza A. Evolving Biothreat of Variant SARS-CoV-2—Molecular Properties, Virulence and Epidemiology. Eur. Rev. Med. Pharmacol. Sci. 2021;25:4405–4412. doi: 10.26355/eurrev_202106_26151. [DOI] [PubMed] [Google Scholar]
  • 5.Tushir S., Kamanna S., Nath S.S., Bhat A., Rose S., Aithal A.R., Tatu U. Proteo-Genomic Analysis of SARS-CoV-2: A Clinical Landscape of Single-Nucleotide Polymorphisms, COVID-19 Proteome, and Host Responses. J. Proteome Res. 2021;20:1591–1601. doi: 10.1021/acs.jproteome.0c00808. [DOI] [PubMed] [Google Scholar]
  • 6.Siegel D., Hui H.C., Doerffler E., Clarke M.O., Chun K., Zhang L., Neville S., Carra E., Lew W., Ross B., et al. Discovery and Synthesis of a Phosphoramidate Prodrug of a Pyrrolo[2,1-f][Triazin-4-Amino] Adenine C-Nucleoside (GS-5734) for the Treatment of Ebola and Emerging Viruses. J. Med. Chem. 2017;60:1648–1661. doi: 10.1021/acs.jmedchem.6b01594. [DOI] [PubMed] [Google Scholar]
  • 7.Cox R.M., Wolf J.D., Plemper R.K. Therapeutically Administered Ribonucleoside Analogue MK-4482/EIDD-2801 Blocks SARS-CoV-2 Transmission in Ferrets. Nat. Microbiol. 2021;6:11–18. doi: 10.1038/s41564-020-00835-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Owen D.R., Allerton C.M.N., Anderson A.S., Aschenbrenner L., Avery M., Berritt S., Boras B., Cardin R.D., Carlo A., Coffman K.J., et al. An Oral SARS-CoV-2 Mpro Inhibitor Clinical Candidate for the Treatment of COVID-19. Science. 2021;374:1586–1593. doi: 10.1126/science.abl4784. [DOI] [PubMed] [Google Scholar]
  • 9.Chia C.S.B. Novel Nitrile Peptidomimetics for Treating COVID-19. ACS Med. Chem. Lett. 2022;13:330–331. doi: 10.1021/acsmedchemlett.2c00030. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Allerton C.M.N., Arcari J.T., Aschenbrenner L.M., Avery M., Bechle B.M., Behzadi M.A., Boras B., Buzon L.M., Cardin R.D., Catlin N.R., et al. A Second-Generation Oral SARS-CoV-2 Main Protease Inhibitor Clinical Candidate for the Treatment of COVID-19. J. Med. Chem. 2024;67:13550–13571. doi: 10.1021/acs.jmedchem.3c02469. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Chen P., Van Oers T.J., Arutyunova E., Fischer C., Wang C., Lamer T., van Belkum M.J., Young H.S., Vederas J.C., Lemieux M.J. A Structural Comparison of Oral SARS-CoV-2 Drug Candidate Ibuzatrelvir Complexed with the Main Protease (Mpro) of SARS-CoV-2 and MERS-CoV. JACS Au. 2024;4:3217–3227. doi: 10.1021/jacsau.4c00508. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Saravolatz L.D., Depcinski S., Sharma M. Molnupiravir and Nirmatrelvir-Ritonavir: Oral COVID Antiviral Drugs. Clin. Infect. Dis. 2023;76:165–171. doi: 10.1093/cid/ciac180. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Gerhart J., Draica F., Benigno M., Atkinson J., Reimbaeva M., Francis D., Baillon-Plot N., Sidhu G.S., Damle B.D. Real-World Evidence of the Top 100 Prescribed Drugs in the USA and Their Potential for Drug Interactions with Nirmatrelvir; Ritonavir. AAPS J. 2023;25:73. doi: 10.1208/s12248-023-00832-3. [DOI] [PubMed] [Google Scholar]
  • 14.Noske G.D., De Souza Silva E., De Godoy M.O., Dolci I., Fernandes R.S., Guido R.V.C., Sjö P., Oliva G., Godoy A.S. Structural Basis of Nirmatrelvir and Ensitrelvir Activity against Naturally Occurring Polymorphisms of the SARS-CoV-2 Main Protease. J. Biol. Chem. 2023;299:103004. doi: 10.1016/j.jbc.2023.103004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Hu Y., Lewandowski E.M., Tan H., Zhang X., Morgan R.T., Zhang X., Jacobs L.M.C., Butler S.G., Gongora M.V., Choy J., et al. Naturally Occurring Mutations of SARS-CoV-2 Main Protease Confer Drug Resistance to Nirmatrelvir. ACS Cent. Sci. 2023;9:1658–1669. doi: 10.1021/acscentsci.3c00538. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Focosi D., McConnell S., Shoham S., Casadevall A., Maggi F., Antonelli G. Nirmatrelvir and COVID-19: Development, Pharmacokinetics, Clinical Efficacy, Resistance, Relapse, and Pharmacoeconomics. Int. J. Antimicrob. Agents. 2023;61:106708. doi: 10.1016/j.ijantimicag.2022.106708. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Jiang X., Su H., Shang W., Zhou F., Zhang Y., Zhao W., Zhang Q., Xie H., Jiang L., Nie T., et al. Structure-Based Development and Preclinical Evaluation of the SARS-CoV-2 3C-like Protease Inhibitor Simnotrelvir. Nat. Commun. 2023;14:6463. doi: 10.1038/s41467-023-42102-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Chen X., Huang X., Ma Q., Kuzmič P., Zhou B., Xu J., Liu B., Jiang H., Zhang W., Yang C., et al. Inhibition Mechanism and Antiviral Activity of an α-Ketoamide Based SARS-CoV-2 Main Protease Inhibitor. bioRxiv. 2023 doi: 10.1101/2023.03.09.531862. [DOI] [Google Scholar]
  • 19.McGovern-Gooch K.R., Mani N., Gotchev D., Ardzinski A., Kowalski R., Sheraz M., Micolochick Steuer H.M., Tercero B., Wang X., Wasserman A., et al. Biological Characterization of AB-343, a Novel and Potent SARS-CoV-2 Mpro Inhibitor with Pan-Coronavirus Activity. Antivir. Res. 2024;232:106038. doi: 10.1016/j.antiviral.2024.106038. [DOI] [PubMed] [Google Scholar]
  • 20.Westberg M., Su Y., Zou X., Huang P., Rustagi A., Garhyan J., Patel P.B., Fernandez D., Wu Y., Hao C., et al. An Orally Bioavailable SARS-CoV-2 Main Protease Inhibitor Exhibits Improved Affinity and Reduced Sensitivity to Mutations. Sci. Transl. Med. 2024;16:eadi0979. doi: 10.1126/scitranslmed.adi0979. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Hoffman R.L., Kania R.S., Brothers M.A., Davies J.F., Ferre R.A., Gajiwala K.S., He M., Hogan R.J., Kozminski K., Li L.Y., et al. Discovery of Ketone-Based Covalent Inhibitors of Coronavirus 3CL Proteases for the Potential Therapeutic Treatment of COVID-19. J. Med. Chem. 2020;63:12725–12747. doi: 10.1021/acs.jmedchem.0c01063. [DOI] [PubMed] [Google Scholar]
  • 22.Boras B., Jones R.M., Anson B.J., Arenson D., Aschenbrenner L., Bakowski M.A., Beutler N., Binder J., Chen E., Eng H., et al. Discovery of a Novel Inhibitor of Coronavirus 3CL Protease for the Potential Treatment of COVID-19. bioRxiv. 2020 doi: 10.1101/2020.09.12.293498. [DOI] [Google Scholar]
  • 23.de Vries M., Mohamed A.S., Prescott R.A., Valero-Jimenez A.M., Desvignes L., O’Connor R., Steppan C., Devlin J.C., Ivanova E., Herrera A., et al. A Comparative Analysis of SARS-CoV-2 Antivirals Characterizes 3CLpro Inhibitor PF-00835231 as a Potential New Treatment for COVID-19. J. Virol. 2021;95:e01819-20. doi: 10.1128/JVI.01819-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Kim Y., Lovell S., Tiew K.-C., Mandadapu S.R., Alliston K.R., Battaile K.P., Groutas W.C., Chang K.-O. Broad-Spectrum Antivirals against 3C or 3C-Like Proteases of Picornaviruses, Noroviruses, and Coronaviruses. J. Virol. 2012;86:11754–11762. doi: 10.1128/JVI.01348-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Pedersen N.C., Kim Y., Liu H., Galasiti Kankanamalage A.C., Eckstrand C., Groutas W.C., Bannasch M., Meadows J.M., Chang K.-O. Efficacy of a 3C-like Protease Inhibitor in Treating Various Forms of Acquired Feline Infectious Peritonitis. J. Feline Med. Surg. 2018;20:378–392. doi: 10.1177/1098612X17729626. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Kim Y., Liu H., Galasiti Kankanamalage A.C., Weerasekara S., Hua D.H., Groutas W.C., Chang K.-O., Pedersen N.C. Reversal of the Progression of Fatal Coronavirus Infection in Cats by a Broad-Spectrum Coronavirus Protease Inhibitor. PLoS Pathog. 2016;12:e1005531. doi: 10.1371/journal.ppat.1005531. Erratum in PLoS Pathog. 2016, 12, e1005650. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Vuong W., Fischer C., Khan M.B., van Belkum M.J., Lamer T., Willoughby K.D., Lu J., Arutyunova E., Joyce M.A., Saffran H.A., et al. Improved SARS-CoV-2 Mpro Inhibitors Based on Feline Antiviral Drug GC376: Structural Enhancements, Increased Solubility, and Micellar Studies. Eur. J. Med. Chem. 2021;222:113584. doi: 10.1016/j.ejmech.2021.113584. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Porzberg M.R.B., Groenewold G.J.M., Lyoo H., Jakob A.K.M.H., Titulaer W.H.C., Cavina L., Poelaert K.C.K., Zwaagstra M., Dieteren C.E.J., Lemmers J.G.H., et al. Peptidomimetic Phenoxymethyl Ketone Warheads as Potent Dual-Mode Inhibitors against SARS-CoV-2 Mpro and Cathepsin. J. Med. Chem. 2025;68:10953–10969. doi: 10.1021/acs.jmedchem.4c03147. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Hu S., Zhang Y., Wang C., Li J., Su H., Xie X., Wang J., Wang J., Cao J., He X., et al. Development of Orally Bioavailable Octahydroindole-Based Peptidomimetic Derivative as a Broad-Spectrum Inhibitor against HCoV-OC43 and SARS-CoV-2. J. Med. Chem. 2025;68:10823–10844. doi: 10.1021/acs.jmedchem.4c03024. [DOI] [PubMed] [Google Scholar]
  • 30.Qiao X., Cui M., Yu Z., Ma L., Liu H., Yang X., Chen Y., Li D., Che J., Zhao L., et al. Thiol Esters as Chemical Warheads of SARS-CoV-2 Main Protease (3CLpro) Peptide-like Inhibitors. Eur. J. Med. Chem. 2025;293:117709. doi: 10.1016/j.ejmech.2025.117709. Erratum in Eur. J. Med. Chem. 2025, 303, 118470. [DOI] [PubMed] [Google Scholar]
  • 31.Shawky A.M., Almalki F.A., Alzahrani H.A., Abdalla A.N., Youssif B.G.M., Ibrahim N.A., Gamal M., El-Sherief H.A.M., Abdel-Fattah M.M., Hefny A.A., et al. Covalent Small-Molecule Inhibitors of SARS-CoV-2 Mpro: Insights into Their Design, Classification, Biological Activity, and Binding Interactions. Eur. J. Med. Chem. 2024;277:116704. doi: 10.1016/j.ejmech.2024.116704. [DOI] [PubMed] [Google Scholar]
  • 32.Shurtleff V.W., Layton M.E., Parish C.A., Perkins J.J., Schreier J.D., Wang Y., Adam G.C., Alvarez N., Bahmanjah S., Bahnck-Teets C.M., et al. Invention of MK-7845, a SARS-CoV-2 3CL Protease Inhibitor Employing a Novel Difluorinated Glutamine Mimic. J. Med. Chem. 2024;67:3935–3958. doi: 10.1021/acs.jmedchem.3c02248. [DOI] [PubMed] [Google Scholar]
  • 33.Ghosh A.K., Yadav M., Iddum S., Ghazi S., Lendy E.K., Jayashankar U., Beechboard S.N., Takamatsu Y., Hattori S., Amano M., et al. Exploration of P1 and P4 Modifications of Nirmatrelvir: Design, Synthesis, Biological Evaluation, and X-Ray Structural Studies of SARS-CoV-2 Mpro Inhibitors. Eur. J. Med. Chem. 2024;267:116132. doi: 10.1016/j.ejmech.2024.116132. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Kneller D.W., Li H., Phillips G., Weiss K.L., Zhang Q., Arnould M.A., Jonsson C.B., Surendranathan S., Parvathareddy J., Blakeley M.P., et al. Covalent Narlaprevir- and Boceprevir-Derived Hybrid Inhibitors of SARS-CoV-2 Main Protease. Nat. Commun. 2022;13:2268. doi: 10.1038/s41467-022-29915-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Wang Y.-C., Yang W.-H., Yang C.-S., Hou M.-H., Tsai C.-L., Chou Y.-Z., Hung M.-C., Chen Y. Structural Basis of SARS-CoV-2 Main Protease Inhibition by a Broad-Spectrum Anti-Coronaviral Drug. Am. J. Cancer Res. 2020;10:2535–2545. [PMC free article] [PubMed] [Google Scholar]
  • 36.Lindorff-Larsen K., Piana S., Palmo K., Maragakis P., Klepeis J.L., Dror R.O., Shaw D.E. Improved Side-Chain Torsion Potentials for the Amber ff99SB Protein Force Field. Proteins. 2010;78:1950–1958. doi: 10.1002/prot.22711. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Páll S., Hess B. A Flexible Algorithm for Calculating Pair Interactions on SIMD Architectures. Comput. Phys. Commun. 2013;184:2641–2650. doi: 10.1016/j.cpc.2013.06.003. [DOI] [Google Scholar]
  • 38.Darden T., York D., Pedersen L. Particle Mesh Ewald: An Nlog (N) Method for Ewald Sums in Large Systems. J. Chem. Phys. 1993;98:10089–10092. doi: 10.1063/1.464397. [DOI] [Google Scholar]
  • 39.Kumari R., Kumar R., Lynn A. G_mmpbsa—A GROMACS Tool for High-Throughput MM-PBSA Calculations. J. Chem. Inf. Model. 2014;54:1951–1962. doi: 10.1021/ci500020m. [DOI] [PubMed] [Google Scholar]
  • 40.Zhang L., Lin D., Kusov Y., Nian Y., Ma Q., Wang J., von Brunn A., Leyssen P., Lanko K., Neyts J., et al. α-Ketoamides as Broad-Spectrum Inhibitors of Coronavirus and Enterovirus Replication: Structure-Based Design, Synthesis, and Activity Assessment. J. Med. Chem. 2020;63:4562–4578. doi: 10.1021/acs.jmedchem.9b01828. [DOI] [PubMed] [Google Scholar]
  • 41.Thanigaimalai P., Konno S., Yamamoto T., Koiwai Y., Taguchi A., Takayama K., Yakushiji F., Akaji K., Kiso Y., Kawasaki Y., et al. Design, Synthesis, and Biological Evaluation of Novel Dipeptide-Type SARS-CoV 3CL Protease Inhibitors: Structure–Activity Relationship Study. Eur. J. Med. Chem. 2013;65:436–447. doi: 10.1016/j.ejmech.2013.05.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Shie J.-J., Fang J.-M., Kuo T.-H., Kuo C.-J., Liang P.-H., Huang H.-J., Wu Y.-T., Jan J.-T., Cheng Y.-S.E., Wong C.-H. Inhibition of the Severe Acute Respiratory Syndrome 3CL Protease by Peptidomimetic α,β-Unsaturated Esters. Bioorg. Med. Chem. 2005;13:5240–5252. doi: 10.1016/j.bmc.2005.05.065. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Anson B.J., Chapman M.E., Lendy E.K., Pshenychnyi S., D’Aquila R.T., Satchell K.J.F., Mesecar A.D. Broad-Spectrum Inhibition of Coronavirus Main and Papain-like Proteases by HCV Drugs. Res. Sq. 2020 doi: 10.21203/rs.3.rs-26344/v1. [DOI] [Google Scholar]
  • 44.Ma C., Sacco M.D., Hurst B., Townsend J.A., Hu Y., Szeto T., Zhang X., Tarbet B., Marty M.T., Chen Y., et al. Boceprevir, GC-376, and Calpain Inhibitors II, XII Inhibit SARS-CoV-2 Viral Replication by Targeting the Viral Main Protease. Cell Res. 2020;30:678–692. doi: 10.1038/s41422-020-0356-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Sacco M.D., Ma C., Lagarias P., Gao A., Townsend J.A., Meng X., Dube P., Zhang X., Hu Y., Kitamura N., et al. Structure and Inhibition of the SARS-CoV-2 Main Protease Reveal Strategy for Developing Dual Inhibitors against Mpro and Cathepsin L. Sci. Adv. 2020;6:eabe0751. doi: 10.1126/sciadv.abe0751. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Xia Z., Sacco M., Hu Y., Ma C., Meng X., Zhang F., Szeto T., Xiang Y., Chen Y., Wang J. Rational Design of Hybrid SARS-CoV-2 Main Protease Inhibitors Guided by the Superimposed Cocrystal Structures with the Peptidomimetic Inhibitors GC-376, Telaprevir, and Boceprevir. ACS Pharmacol. Transl. Sci. 2021;4:1408–1421. doi: 10.1021/acsptsci.1c00099. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Yang K.S., Ma X.R., Ma Y., Alugubelli Y.R., Scott D.A., Vatansever E.C., Drelich A.K., Sankaran B., Geng Z.Z., Blankenship L.R., et al. A Quick Route to Multiple Highly Potent SARS-CoV-2 Main Protease Inhibitors. ChemMedChem. 2021;16:942–948. doi: 10.1002/cmdc.202000924. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Rathnayake A.D., Zheng J., Kim Y., Perera K.D., Mackin S., Meyerholz D.K., Kashipathy M.M., Battaile K.P., Lovell S., Perlman S., et al. 3C-like Protease Inhibitors Block Coronavirus Replication in Vitro and Improve Survival in MERS-CoV–Infected Mice. Sci. Transl. Med. 2020;12:eabc5332. doi: 10.1126/scitranslmed.abc5332. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Ali J., Camilleri P., Brown M.B., Hutt A.J., Kirton S.B. Revisiting the General Solubility Equation: In Silico Prediction of Aqueous Solubility Incorporating the Effect of Topographical Polar Surface Area. J. Chem. Inf. Model. 2012;52:420–428. doi: 10.1021/ci200387c. [DOI] [PubMed] [Google Scholar]
  • 50.Delaney J.S. ESOL: Estimating Aqueous Solubility Directly from Molecular Structure. J. Chem. Inf. Comput. Sci. 2004;44:1000–1005. doi: 10.1021/ci034243x. [DOI] [PubMed] [Google Scholar]
  • 51.Daina A., Zoete V. A BOILED-Egg To Predict Gastrointestinal Absorption and Brain Penetration of Small Molecules. ChemMedChem. 2016;11:1117–1121. doi: 10.1002/cmdc.201600182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Ertl P., Rohde B., Selzer P. Fast Calculation of Molecular Polar Surface Area as a Sum of Fragment-Based Contributions and Its Application to the Prediction of Drug Transport Properties. J. Med. Chem. 2000;43:3714–3717. doi: 10.1021/jm000942e. [DOI] [PubMed] [Google Scholar]
  • 53.Lipinski C.A., Lombardo F., Dominy B.W., Feeney P.J. Experimental and Computational Approaches to Estimate Solubility and Permeability in Drug Discovery and Development Settings1. Adv. Drug Deliv. Rev. 2001;46:3–26. doi: 10.1016/S0169-409X(00)00129-0. [DOI] [PubMed] [Google Scholar]
  • 54.Ghose A.K., Viswanadhan V.N., Wendoloski J.J. A Knowledge-Based Approach in Designing Combinatorial or Medicinal Chemistry Libraries for Drug Discovery. 1. A Qualitative and Quantitative Characterization of Known Drug Databases. J. Comb. Chem. 1999;1:55–68. doi: 10.1021/cc9800071. [DOI] [PubMed] [Google Scholar]
  • 55.Veber D.F., Johnson S.R., Cheng H.-Y., Smith B.R., Ward K.W., Kopple K.D. Molecular Properties That Influence the Oral Bioavailability of Drug Candidates. J. Med. Chem. 2002;45:2615–2623. doi: 10.1021/jm020017n. [DOI] [PubMed] [Google Scholar]
  • 56.Egan W.J., Merz K.M., Baldwin J.J. Prediction of Drug Absorption Using Multivariate Statistics. J. Med. Chem. 2000;43:3867–3877. doi: 10.1021/jm000292e. [DOI] [PubMed] [Google Scholar]
  • 57.Muegge I., Heald S.L., Brittelli D. Simple Selection Criteria for Drug-like Chemical Matter. J. Med. Chem. 2001;44:1841–1846. doi: 10.1021/jm015507e. [DOI] [PubMed] [Google Scholar]
  • 58.Banerjee P., Kemmler E., Dunkel M., Preissner R. ProTox 3.0: A Webserver for the Prediction of Toxicity of Chemicals. Nucleic Acids Res. 2024;52:W513–W520. doi: 10.1093/nar/gkae303. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Daina A., Michielin O., Zoete V. SwissADME: A Free Web Tool to Evaluate Pharmacokinetics, Drug-Likeness and Medicinal Chemistry Friendliness of Small Molecules. Sci. Rep. 2017;7:42717. doi: 10.1038/srep42717. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Makhin A.P., Miturich V.S., Vavilov M.V., Lyakhovich M.S., Andrianova A.A., Zagitova R.I., Shmygarev V.I., Fadeeva A.A., Yatskin O.N., Belozerova O.A., et al. Improved Synthesis of Two Quisqualic Acid Analogs Containing Hydantoin and Imidazolidinone Moieties. Chem. Heterocycl. Compd. 2024;60:262–268. doi: 10.1007/s10593-024-03331-1. [DOI] [Google Scholar]
  • 61.Mancuso A.J., Huang S.-L., Swern D. Oxidation of Long-Chain and Related Alcohols to Carbonyls by Dimethyl Sulfoxide “Activated” by Oxalyl Chloride. J. Org. Chem. 1978;43:2480–2482. doi: 10.1021/jo00406a041. [DOI] [Google Scholar]
  • 62.Parikh J.R., Doering W.v.E. Sulfur Trioxide in the Oxidation of Alcohols by Dimethyl Sulfoxide. J. Am. Chem. Soc. 1967;89:5505–5507. doi: 10.1021/ja00997a067. [DOI] [Google Scholar]
  • 63.Tidwell T.T. Oxidation of Alcohols by Activated Dimethyl Sulfoxide and Related Reactions: An Update. Synthesis. 2002;1990:857–870. doi: 10.1055/s-1990-27036. [DOI] [Google Scholar]
  • 64.Dess D.B., Martin J.C. Readily Accessible 12-I-5 Oxidant for the Conversion of Primary and Secondary Alcohols to Aldehydes and Ketones. J. Org. Chem. 1983;48:4155–4156. doi: 10.1021/jo00170a070. [DOI] [Google Scholar]
  • 65.Dess D.B., Martin J.C. A Useful 12-I-5 Triacetoxyperiodinane (the Dess-Martin Periodinane) for the Selective Oxidation of Primary or Secondary Alcohols and a Variety of Related 12-I-5 Species. J. Am. Chem. Soc. 1991;113:7277–7287. doi: 10.1021/ja00019a027. [DOI] [Google Scholar]
  • 66.Meyer S.D., Schreiber S.L. Acceleration of the Dess-Martin Oxidation by Water. J. Org. Chem. 1994;59:7549–7552. doi: 10.1021/jo00103a067. [DOI] [Google Scholar]
  • 67.Fukuyama T., Lin S.C., Li L. Facile Reduction of Ethyl Thiol Esters to Aldehydes: Application to a Total Synthesis of (+)-Neothramycin A Methyl Ether. J. Am. Chem. Soc. 1990;112:7050–7051. doi: 10.1021/ja00175a043. [DOI] [Google Scholar]
  • 68.Tokuyama H., Yokoshima S., Yamashita T., Shao-Cheng L., Leping L., Fukuyama T. Facile Palladium-Mediated Conversion of Ethanethiol Esters to Aldehydes and Ketones. J. Braz. Chem. Soc. 1998;9:381–387. doi: 10.1590/S0103-50531998000400011. [DOI] [Google Scholar]
  • 69.Tokuyama H., Yokoshima S., Lin S.-C., Li L., Fukuyama T. Reduction of Ethanethiol Esters to Aldehydes. Synthesis. 2002;2002:1121–1123. doi: 10.1055/s-2002-31969. [DOI] [Google Scholar]
  • 70.Vuong W., Khan M.B., Fischer C., Arutyunova E., Lamer T., Shields J., Saffran H.A., McKay R.T., Van Belkum M.J., Joyce M.A., et al. Feline Coronavirus Drug Inhibits the Main Protease of SARS-CoV-2 and Blocks Virus Replication. Nat. Commun. 2020;11:4282. doi: 10.1038/s41467-020-18096-2. Correction in Nat. Commun. 2020, 11, 5409. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Zakharova M.Y., Kuznetsova A.A., Uvarova V.I., Fomina A.D., Kozlovskaya L.I., Kaliberda E.N., Kurbatskaia I.N., Smirnov I.V., Bulygin A.A., Knorre V.D., et al. Pre-Steady-State Kinetics of the SARS-CoV-2 Main Protease as a Powerful Tool for Antiviral Drug Discovery. Front. Pharmacol. 2021;12:773198. doi: 10.3389/fphar.2021.773198. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

cimb-48-00142-s001.zip (3.8MB, zip)

Data Availability Statement

The original contributions presented in this study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.


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