Perspectives on SARS-CoV-2 Main Protease Inhibitors

Design, synthesis and activity evaluation of 4-(quinoline-2-yl)aniline derivatives as SARS-CoV‑2 main protease inhibitors

Since 2020, numerous compounds have been investigated for their potential use in treating SARS-CoV-2 infections. By identifying the molecular targets during the virus replication process, rationally designed anti-SARS-CoV-2 agents are developed. Among these targets, the main protease (Mpro) is a crucial enzyme required for virus replication, and its highly conserved characteristic make it an important drug target for the development of anti-SARS-CoV-2 drugs. Herein, we utilized warhead-based design strategy to conduct the structural optimization of M-1 developed through virtual screening, leading to a series of novel Mpro inhibitors with 4-(quinolin-2-yl)aniline scaffold. Among them, M-32 exhibited good SARS-CoV-2 Mpro inhibitory activity (IC50 = 5.2 μM) with a nearly 25-fold increase. Isothermal titration calorimetry (ITC) directly proved that M-32 binds directly to SARS-CoV-2 Mpro in an entropy-driven manner. Mass spectrometry (MS) further confirmed the covalent binding ability of M-32 to Mpro. Meanwhile, M-32 effectively inhibited the replication of SARS-CoV-2 in Vero E6 cells (EC50 = 5.29 μM).

Silaproline-bearing nirmatrelvir derivatives are potent inhibitors of the SARS-CoV-2 main protease highlighting the value of silicon-derivatives in structure-activity-relationship studies

Nirmatrelvir is a substrate-related inhibitor of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) main protease (Mpro) that is clinically used in combination with ritonavir to treat COVID-19. Derivatives of nirmatrelvir, modified at the substrate P2-equivalent position, have been developed to fine-tune inhibitor properties and are now in clinical use. We report the synthesis of nirmatrelvir derivatives with a (R)-4,4-dimethyl-4-silaproline (silaproline) group at the P2-equivalent position. Mass spectrometry (MS)-based assays demonstrate that silaproline-bearing nirmatrelvir derivatives efficiently inhibit isolated recombinant Mpro, albeit with reduced potency compared to nirmatrelvir. Investigations with SARS-CoV-2 infected VeroE6 cells reveal that the silaproline-bearing inhibitors with a CF3 group at the P4-equivalent position inhibit viral progression, implying that incorporating silicon atoms into Mpro inhibitors can yield in vivo active inhibitors with appropriate optimization. MS and crystallographic studies show that the nucleophilic active site cysteine residue of Mpro (Cys145) reacts with the nitrile group of the silaproline-bearing inhibitors. Substituting the electrophilic nitrile group for a non-activated terminal alkyne shifts the inhibition mode from reversible covalent inhibition to irreversible covalent inhibition. One of the two prochiral silaproline methyl groups occupies space in the S2 pocket that is unoccupied in Mpro:nirmatrelvir complex structures, highlighting the value of sila-derivatives in structure-activity-relationship (SAR) studies. The combined results highlight the potential of silicon-containing molecules for inhibition of Mpro and, by implication, other nucleophilic cysteine enzymes.

Design, synthesis, and antiviral activity of fragmented-lapatinib aminoquinazoline analogs towards SARS-CoV-2 inhibition

The severe impact of COVID-19 on global health and economies highlights the critical need for innovative treatments. Recently, lapatinib, a drug initially used for breast cancer, has been identified as a potential inhibitor of the main protease (Mpro) of SARS-CoV-2, meriting further investigation. Utilizing rational design strategies and guided by MD simulations, we developed novel aminoquinazoline analogs based on fragmented lapatinib's structure. Preliminary computational screenings identified promising candidates, which were synthesized using a concise 3-4 step process. In vitro assays demonstrated notable antiviral efficacy against SARS-CoV-2-infected cells for all analogs, with Bb1 showing an EC50 of 1.10 μM and significantly lower toxicity (13.55 % at 50 μM) compared to lapatinib. Further studies confirmed that these analogs effectively inhibit SARS-CoV-2 Mpro, with Bb7 displaying the highest activity. MD simulations revealed that Bb7 achieves stability within the Mpro binding pocket through interactions with specific residues. These findings indicate that aminoquinazoline analogs hold significant promise as therapeutic candidates for COVID-19.

T-ALPHA: A Hierarchical Transformer-Based Deep Neural Network for Protein-Ligand Binding Affinity Prediction with Uncertainty-Aware Self-Learning for Protein-Specific Alignment

There is significant interest in targeting disease-causing proteins with small molecule inhibitors to restore healthy cellular states. The ability to accurately predict the binding affinity of small molecules to a protein target in silico enables the rapid identification of candidate inhibitors and facilitates the optimization of on-target potency. In this work, we present T-ALPHA, a novel deep learning model that enhances protein-ligand binding affinity prediction by integrating multimodal feature representations within a hierarchical transformer framework to capture information critical to accurately predicting binding affinity. T-ALPHA outperforms all existing models reported in the literature on multiple benchmarks designed to evaluate protein-ligand binding affinity scoring functions. Remarkably, T-ALPHA maintains state-of-the-art performance when utilizing predicted structures rather than crystal structures, a powerful capability in real-world drug discovery applications where experimentally determined structures are often unavailable or incomplete. Additionally, we present an uncertainty-aware self-learning method for protein-specific alignment that does not require additional experimental data and demonstrate that it improves T-ALPHA's ability to rank compounds by binding affinity to biologically significant targets such as the SARS-CoV-2 main protease and the epidermal growth factor receptor. To facilitate implementation of T-ALPHA and reproducibility of all results presented in this paper, we made all of our software available at https://github.com/gregory-kyro/T-ALPHA.

Decoding SARS-CoV-2 Inhibition: Insights From Molecular Dynamics Simulation of Condensed Amino Thiourea Scaffold Small Molecules

The main protease (Mpro) of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) plays a crucial role in viral replication. In this study, the binding modes and inhibitory mechanisms of eight condensed amino thiourea scaffold inhibitors of Mpro in proteins were investigated using a combination of molecular docking, molecular dynamics simulations, and MM/PBSA binding free energy calculations. The results indicated that the para-hydroxyl group on the benzene ring at the head of the inhibitor has a decisive influence on the initial docking pose and binding free energy strength of the inhibitor. Additionally, the position and length of the hydrophobic side chain on the tail six-membered ring significantly impacted the final binding pose of the inhibitor. The presence of a long hydrophobic side chain in the ortho position of this ring, through its interaction with the P4 hydrophobic pocket, led to an opposite binding mode in the protein compared with when it was present with or without the para-side chain. Different lengths of para-substituted side chains affected the positioning of the inhibitors in the enzyme. These different binding modes led to variations in the binding free energy between the inhibitor and the protein, which in turn gave rise to differences in inhibitory capability.

Research Progress on the Structure and Function, Immune Escape Mechanism, Antiviral Drug Development Methods, and Clinical Use of SARS-CoV-2 Mpro

The three-year COVID-19 pandemic 'has' caused a wide range of medical, social, political, and financial implications. Since the end of 2020, various mutations and variations in SARS-CoV-2 strains, along with the immune escape phenomenon, have emerged. There is an urgent need to identify a relatively stable target for the development of universal vaccines and drugs that can effectively combat both SARS-CoV-2 strains and their mutants. Currently, the main focus in treating SARS-CoV-2 lies in disrupting the virus's life cycle. The main protease (Mpro) is closely associated with virus replication and maturation and plays a crucial role in the early stages of infection. Consequently, it has become an important target for the development of SARS-CoV-2-specific drugs. This review summarizes the recent research progress on the novel coronavirus's main proteases, including the pivotal role of Mpro in the virus's life cycle, the structure and catalytic mechanism of Mpro, the self-maturation mechanism of Mpro, the role of Mpro in virus immune escape, the current methods of developing antiviral drugs targeting Mpro, and the key drugs that have successfully entered clinical trials. The aim is to provide researchers involved in the development of antiviral drugs targeting Mpro with systematic and comprehensive information.

EvoAI enables extreme compression and reconstruction of the protein sequence space

Designing proteins with improved functions requires a deep understanding of how sequence and function are related, a vast space that is hard to explore. The ability to efficiently compress this space by identifying functionally important features is extremely valuable. Here we establish a method called EvoScan to comprehensively segment and scan the high-fitness sequence space to obtain anchor points that capture its essential features, especially in high dimensions. Our approach is compatible with any biomolecular function that can be coupled to a transcriptional output. We then develop deep learning and large language models to accurately reconstruct the space from these anchors, allowing computational prediction of novel, highly fit sequences without prior homology-derived or structural information. We apply this hybrid experimental-computational method, which we call EvoAI, to a repressor protein and find that only 82 anchors are sufficient to compress the high-fitness sequence space with a compression ratio of 1048. The extreme compressibility of the space informs both applied biomolecular design and understanding of natural evolution.

An isothermal calorimetry assay for determining steady state kinetic and Ensitrelvir inhibition parameters for SARS-CoV-2 3CL-protease

This manuscript details the application of Isothermal Titration Calorimetry (ITC) to characterize the kinetics of 3CLpro, the main protease from the Severe Acute Respiratory Syndrome CoronaVirus-2 (SARS-CoV-2), and its inhibition by Ensitrelvir, a known non-covalent inhibitor. 3CLpro is essential for producing the proteins necessary for viral infection, which led to the COVID-19 pandemic. The ITC-based assay provided rapid and reliable measurements of 3CLpro activity, allowing for the direct derivation of the kinetic enzymatic constants KM and kcat by monitoring the thermal power required to maintain a constant temperature as the substrate is consumed. The manuscript highlights several advantages of the proposed ITC-based assay over traditional methods used to study 3CLpro, such as Förster Resonance Energy Transfer (FRET) and Liquid Chromatography-Mass Spectrometry (LC-MS) and overcomes the need for non-biological substrates or discontinuous post-reaction steps. The ease of application of the ITC method allowed for the determination of the temperature dependence of the catalytic constants, enabling the estimation of the reaction activation energy. Additionally, the assay was used to determine the inhibition mode and kinetic parameters for 3CLpro inhibition by Ensitrelvir. This molecule was revealed to act as a slow- and tight-binding inhibitor that forms an initial E•I complex (KI = 9.9 ± 0.7 nM) quickly transitioning to a tighter E•I* assembly (KI* = 1.1 ± 0.2 nM). This versatile calorimetric method is proposed for general use in the discovery and development of drugs targeting 3CLpro.

Amino acid T25 in the substrate-binding domain of SARS-CoV-2 nsp5 is involved in viral replication in the mouse lung

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) non-structural protein 5 (nsp5) is a cysteine protease involved in viral replication and suppression of the host immune system. The substrate-binding domain of nsp5 is important for its protease activity. However, the relationship between nsp5 protease activity and viral replication remains unclear. We confirmed the importance of amino acid T25 in the nsp5 substrate-binding domain for viral replication using a split luciferase assay. By generating recombinant viruses using bacterial artificial chromosomes, we found that the proliferation of viruses with the T25I mutation in nsp5 was cell-dependent in culture. Furthermore, mice infected with the T25I mutant recombinant virus with a mouse acclimation backbone showed weight loss and increased lung viral load, similar to the wild-type (WT) infected group, up to 3 days after infection. However, after day 4, the lung viral load was significantly reduced in the T25I-infected group compared to that in the WT-infected group. This suggests that nsp5 T25 is involved in the pathogenesis of SARS-CoV-2.

How many organic small molecules might be used to treat COVID-19? From natural products to synthetic agents

A large scale of pandemic coronavirus disease (COVID-19) in the past five years motivates a great deal of endeavors donating to the exploration on therapeutic drugs against COVID-19 as well as other diseases caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Herein is an overview on the organic small molecules that are potentially employed to treat COVID-19 and other SARS-CoV-2-related diseases. These organic small molecules are accessed from both natural resources and synthetic strategies. Notably, typical natural products presented herein consist of polyphenols, lignans, alkaloids, terpenoids, and peptides, which exert an advantage for the further discovery of novel anti-COVID-19 drugs from plant herbs. On the other hand, synthetic prodrugs are composed of a series of inhibitors towards RNA-dependent RNA polymerase (RdRp), main protease (Mpro), 3-chymotrypsin-like cysteine protease (3CLpro), spike protein, papain-like protease (PLpro) of the SARS-CoV-2 as well as the angiotensin-converting enzyme 2 (ACE2) in the host cells. Synthetic strategies are worth taken into consideration because they are beneficial for designing novel anti-COVID-19 drugs in the coming investigations. Although examples collected herein are just a drop in the bucket, developments of organic small molecules against coronavirus infections are believed to pave a promising way for the discovery of multi-targeted therapeutic drugs against not only COVID-19 but also other virus-mediated diseases.

Rational Design of Macrocyclic Noncovalent Inhibitors of SARS-CoV-2 Mpro from a DNA-Encoded Chemical Library Screening Hit That Demonstrate Potent Inhibition against Pan-Coronavirus Homologues and Nirmatrelvir-Resistant Variants

The recent global COVID-19 pandemic has highlighted treatments for coronavirus infection as an unmet medical need. The main protease (Mpro) has been an important target for the development of SARS-CoV-2 direct-acting antivirals. Nirmatrelvir as a covalent Mpro inhibitor was the first such approved therapy. Although Mpro inhibitors of various chemical classes have been reported, they are generally less active against nirmatrelvir-resistant variants and have limited pan-coronavirus potential, presenting a significant human health risk upon future outbreaks. We here present a novel approach and utilized DNA-encoded chemical library screening to identify the noncovalent Mpro inhibitor 5, which demonstrated a distinct binding mode to nirmatrelvir. A macrocyclization strategy designed to lock the active conformation resulted in lactone 12 with significantly improved antiviral activity. Further optimization led to the potent lactam 26, which demonstrated exceptional potency against nirmatrelvir-resistant variants as well as against a panel of viral main proteases from other coronaviruses.

Synthesis, in vitro and in silico evaluation of gallamide and selenogallamide derivatives as inhibitors of the SARS-CoV-2 main protease

The present work reports the inhibitory effect of amides derived from gallic acid (gallamides) against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) main protease (Mpro), along with cytotoxicity evaluation and molecular docking studies. In addition to gallamides, other relevant compounds were also synthesized and evaluated against Mpro, making a total of 25 compounds. Eight compounds presented solubility issues during the inhibitory assay and one showed no inhibitory activity. Compounds 3a, 3b, and 3f showed the highest enzymatic inhibition with IC50 = 0.26 ± 0.19 µM, 0.80 ± 0.38 µM, and 2.87 ± 1.17 µM, respectively. Selenogallamide 6a exhibited IC50 values of 5.42 ± 2.89 µM and a comparison with its nonselenylated congener 3c shows that the insertion of the chalcogen moiety improved the inhibitory capacity of the compound by approximately 10 times. Regarding the cellular toxicity in THP-1 and Vero cells, compounds 3e and 3g, showed moderate cytotoxicity in Vero cells, while for THP-1 both were nontoxic, with CC50 > 150 µM. Derivative 3d showed moderate cytotoxicity against both cell lines, whereas 6d was moderatly toxic to THP-1. Other compounds analyzed do not induce substantial cellular toxicity at the concentrations tested. The molecular docking results for compounds 3a, 3b, and 3f show that hydrogen bonding interactions involving the hydroxyl groups (OH) of the gallate moiety are relevant, as well as the carbonyl group.

Discovery of the potent covalent inhibitor with an acrylate warhead for SARS-CoV-2 3CL protease

COVID-19 has caused severe consequences in terms of public health and economy worldwide since its outbreak in December 2019. SARS-CoV-2 3C-like protease (3CLpro), crucial for the viral replications, is an attractive target for the development of antiviral drugs. In this study, several kinds of Michael acceptor warheads were utilized to hunt for potent covalent inhibitors against 3CLpro. Meanwhile, novel 3CLpro inhibitors with the P3-3,5-dichloro-4-(2-(dimethylamino)ethoxy)phenyl moiety were designed and synthesized which may form salt bridge with residue Glu166. Among them, two compounds 12b and 12c exhibited high inhibitory activities against SARS-CoV-2 3CLpro. Further investigations suggested that 12b with an acrylate warhead displayed potent activity against HCoV-OC43 (EC50 = 97 nM) and SARS-CoV-2 replicon (EC50 = 45 nM) and low cytotoxicity (CC50 > 10 μM) in Huh7 cells. Taken together, this study devised two series of 3CLpro inhibitors and provided the potent SARS-CoV-2 3CLpro inhibitor (12b) which may be used for treating coronavirus infections.

N-acylbenzimidazoles as selective Acylators of the catalytic cystein of the coronavirus 3CL protease

The 3CL protease (3CLpro, Mpro) plays a key role in the replication of the SARS-CoV-2 and was validated as therapeutic target by the development and approval of specific antiviral drugs (nirmatrelvir, ensitrelvir), inhibitors of this protease. Moreover, its high conservation within the coronavirus family renders it an attractive therapeutic target for the development of anti-coronavirus compounds with broad spectrum activity to control COVID-19 and future coronavirus diseases. Here we report on the design, synthesis and structure-activity relationships of a new series of small covalent reversible inhibitors of the SARS-CoV-2 3CLpro. As elucidated thanks to the X-Ray structure of some inhibitors with the 3CLpro, the mode of inhibition involves acylation of the thiol of the catalytic cysteine. The synthesis of 60 analogs led to the identification of compound 56 that inhibits the SARS-CoV-2 3CLpro with high potency (IC50 = 70 nM) and displays antiviral activity in cells (EC50 = 3.1 μM). Notably, compound 56 inhibits the 3CLpro of three other human coronaviruses and exhibit a good selectivity against two human cysteine proteases. These results demonstrate the potential of this electrophilic N-acylbenzimidazole series as a basis for further optimization.

Structure-Guided Design of Potent Coronavirus Inhibitors with a 2-Pyrrolidone Scaffold: Biochemical, Crystallographic, and Virological Studies

Zoonotic coronaviruses are known to produce severe infections in humans and have been the cause of significant morbidity and mortality worldwide. SARS-CoV-2 was the largest and latest contributor of fatal cases, even though MERS-CoV has the highest case-fatality ratio among zoonotic coronaviruses. These infections pose a high risk to public health worldwide warranting efforts for the expeditious discovery of antivirals. Hence, we hereby describe a novel series of inhibitors of coronavirus 3CLpro embodying an N-substituted 2-pyrrolidone scaffold envisaged to exploit favorable interactions with the S3-S4 subsites and connected to an invariant Leu-Gln P2-P1 recognition element. Several inhibitors showed nanomolar antiviral activity in enzyme and cell-based assays, with no significant cytotoxicity. High-resolution crystal structures of inhibitors bound to the 3CLpro were determined to probe and identify the molecular determinants associated with binding, to inform the structure-guided optimization of the inhibitors, and to confirm the mechanism of action of the inhibitors.

Breaking the Chain: Protease Inhibitors as Game Changers in Respiratory Viruses Management

Respiratory viral infections (VRTIs) rank among the leading causes of global morbidity and mortality, affecting millions of individuals each year across all age groups. These infections are caused by various pathogens, including rhinoviruses (RVs), adenoviruses (AdVs), and coronaviruses (CoVs), which are particularly prevalent during colder seasons. Although many VRTIs are self-limiting, their frequent recurrence and potential for severe health complications highlight the critical need for effective therapeutic strategies. Viral proteases are crucial for the maturation and replication of viruses, making them promising therapeutic targets. This review explores the pivotal role of viral proteases in the lifecycle of respiratory viruses and the development of protease inhibitors as a strategic response to these infections. Recent advances in antiviral therapy have highlighted the effectiveness of protease inhibitors in curtailing the spread and severity of viral diseases, especially during the ongoing COVID-19 pandemic. It also assesses the current efforts aimed at identifying and developing inhibitors targeting key proteases from major respiratory viruses, including human RVs, AdVs, and (severe acute respiratory syndrome coronavirus-2) SARS-CoV-2. Despite the recent identification of SARS-CoV-2, within the last five years, the scientific community has devoted considerable time and resources to investigate existing drugs and develop new inhibitors targeting the virus's main protease. However, research efforts in identifying inhibitors of the proteases of RVs and AdVs are limited. Therefore, herein, it is proposed to utilize this knowledge to develop new inhibitors for the proteases of other viruses affecting the respiratory tract or to develop dual inhibitors. Finally, by detailing the mechanisms of action and therapeutic potentials of these inhibitors, this review aims to demonstrate their significant role in transforming the management of respiratory viral diseases and to offer insights into future research directions.

Non-peptidic inhibitors targeting SARS-CoV-2 main protease: A review

The COVID-19 pandemic continues to pose a threat to global health, and sounds the alarm for research & development of effective anti-coronavirus drugs, which are crucial for the patients and urgently needed for the current epidemic and future crisis. The main protease (Mpro) stands as an essential enzyme in the maturation process of SARS-CoV-2, playing an irreplaceable role in regulating viral RNA replication and transcription. It has emerged as an ideal target for developing antiviral agents against SARS-CoV-2 due to its high conservation and the absence of homologous proteases in the human body. Among the SARS-CoV-2 Mpro inhibitors, non-peptidic compounds hold promising prospects owing to their excellent antiviral activity and improved metabolic stability. In this review, we offer an overview of research progress concerning non-peptidic SARS-CoV-2 Mpro inhibitors since 2020. The efforts delved into molecular structures, structure-activity relationships (SARs), biological activity, and binding modes of these inhibitors with Mpro. This review aims to provide valuable clues and insights for the development of anti-SARS-CoV-2 agents as well as broad-spectrum coronavirus Mpro inhibitors.

Leak Proof PDBBind: A Reorganized Dataset of Protein-Ligand Complexes for More Generalizable Binding Affinity Prediction

Many physics-based and machine-learned scoring functions (SFs) used to predict protein-ligand binding free energies have been trained on the PDBBind dataset. However, it is controversial as to whether new SFs are actually improving since the general, refined, and core datasets of PDBBind are cross-contaminated with proteins and ligands with high similarity, and hence they may not perform comparably well in binding prediction of new protein-ligand complexes. In this work we have carefully prepared a cleaned PDBBind data set of non-covalent binders that are split into training, validation, and test datasets to control for data leakage, defined as proteins and ligands with high sequence and structural similarity. The resulting leak-proof (LP)-PDBBind data is used to retrain four popular SFs: AutoDock Vina, Random Forest (RF)-Score, InteractionGraphNet (IGN), and DeepDTA, to better test their capabilities when applied to new protein-ligand complexes. In particular we have formulated a new independent data set, BDB2020+, by matching high quality binding free energies from BindingDB with co-crystalized ligand-protein complexes from the PDB that have been deposited since 2020. Based on all the benchmark results, the retrained models using LP-PDBBind consistently perform better, with IGN especially being recommended for scoring and ranking applications for new protein-ligand systems.

Azapeptides with unique covalent warheads as SARS-CoV-2 main protease inhibitors

The main protease (MPro) of SARS-CoV-2, the causative agent of COVID-19, is a pivotal nonstructural protein critical for viral replication and pathogenesis. Its protease function relies on three active site pockets for substrate recognition and a catalytic cysteine for enzymatic activity. To develop potential SARS-CoV-2 antivirals, we successfully synthesized a diverse range of azapeptide inhibitors with various covalent warheads to target MPro's catalytic cysteine. Our characterization identified potent MPro inhibitors, including MPI89 that features an aza-2,2-dichloroacetyl warhead with a remarkable EC50 value of 10 nM against SARS-CoV-2 infection in ACE2+ A549 cells and a selective index of 875. MPI89 is also remarkably selective and shows no potency against SARS-CoV-2 papain-like protease and several human proteases. Crystallography analyses demonstrated that these inhibitors covalently engaged the catalytic cysteine and used the aza-amide carbonyl oxygen to bind to the oxyanion hole. MPI89 stands as one of the most potent MPro inhibitors, suggesting the potential for further exploration of azapeptides and the aza-2,2-dichloroacetyl warhead for developing effective therapeutics against COVID-19.

Development of an active-site titrant for SARS-CoV-2 main protease as an indispensable tool for evaluating enzyme kinetics

A titrant for the SARS-CoV-2 main protease (Mpro) was developed that enables, for the first time, the exact determination of the concentration of the enzymatically active Mpro by active-site titration. The covalent binding mode of the tetrapeptidic titrant was elucidated by the determination of the crystal structure of the enzyme-titrant complex. Four fluorogenic substrates of Mpro, including a prototypical, internally quenched Dabcyl-EDANS peptide, were compared in terms of solubility under typical assay conditions. By exploiting the new titrant, key kinetic parameters for the Mpro-catalyzed cleavage of these substrates were determined.

Antiviral peptides inhibiting the main protease of SARS-CoV-2 investigated by computational screening and in vitro protease assay

The main protease (Mpro) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) plays an important role in viral replication and transcription and received great attention as a vital target for drug/peptide development. Therapeutic agents such as small-molecule drugs or peptides that interact with the Cys-His present in the catalytic site of Mpro are an efficient way to inhibit the protease. Although several emergency-approved vaccines showed good efficacy and drastically dropped the infection rate, evolving variants are still infecting and killing millions of people globally. While a small-molecule drug (Paxlovid) received emergency approval, small-molecule drugs have low target specificity and higher toxicity. Besides small-molecule drugs, peptide therapeutics are thus gaining increasing popularity as they are easy to synthesize and highly selective and have limited side effects. In this study, we investigated the therapeutic value of 67 peptides targeting Mpro using molecular docking. Subsequently, molecular dynamics (MD) simulations were implemented on eight protein-peptide complexes to obtain molecular-level information on the interaction between these peptides and the Mpro active site, which revealed that temporin L, indolicidin, and lymphocytic choriomeningitis virus (LCMV) GP1 are the best candidates in terms of stability, interaction, and structural compactness. These peptides were synthesized using the solid-phase peptide synthesis protocol, purified by reversed-phase high-performance liquid chromatography (RP-HPLC), and authenticated by mass spectrometry (MS). The in vitro fluorometric Mpro activity assay was used to validate the computational results, where temporin L and indolicidin were observed to be very active against SARS-CoV-2 Mpro with IC50 values of 38.80 and 87.23 μM, respectively. A liquid chromatography-MS (LC-MS) assay was developed, and the IC50 value of temporin L was measured at 23.8 μM. The solution-state nuclear magnetic resonance (NMR) structure of temporin L was determined in the absence of sodium dodecyl sulfate (SDS) micelles and was compared to previous temporin structures. This combined investigation provides critical insights and assists us to further develop peptide inhibitors of SARS-CoV-2 Mpro through structural guided investigation.

Quantitative Assessment of Energetic Contributions of Residues in a SARS-CoV-2 Viral Enzyme/Nanobody Interface

The highly conserved protease enzyme from SARS-CoV-2 (MPro) is crucial for viral replication and is an attractive target for the design of novel inhibitory compounds. MPro is known to be conformationally flexible and has been stabilized in an extended conformation in a complex with a novel nanobody (NB2B4), which inhibits the dimerization of the enzyme via binding to an allosteric site. However, the energetic contributions of the nanobody residues stabilizing the MPro/nanobody interface remain unresolved. We probed these residues using all-atom MD simulations in combination with alchemical free energy calculations by studying the physical residue-residue interactions and discovered the role of hydrophobic and electrostatic interactions in stabilizing the complex. Specifically, we found via mutational analysis that three interfacial nanobody residues (Y59, R106, and L109) contributed significantly, two residues (L107 and P110) contributed moderately, and two residues (H112 and T113) contributed minimally to the overall binding affinity of the nanobody. We also discovered that the nanobody affinity could be enhanced via a charge-reversal mutation (D62R) that alters the local interfacial electrostatic environment of this residue in the complex. These findings are potentially useful in designing novel synthetic nanobodies as allosteric inhibitors of MPro.

EvoAI enables extreme compression and reconstruction of the protein sequence space

Designing proteins with improved functions requires a deep understanding of how sequence and function are related, a vast space that is hard to explore. The ability to efficiently compress this space by identifying functionally important features is extremely valuable. Here, we first establish a method called EvoScan to comprehensively segment and scan the high-fitness sequence space to obtain anchor points that capture its essential features, especially in high dimensions. Our approach is compatible with any biomolecular function that can be coupled to a transcriptional output. We then develop deep learning and large language models to accurately reconstruct the space from these anchors, allowing computational prediction of novel, highly fit sequences without prior homology-derived or structural information. We apply this hybrid experimental-computational method, which we call EvoAI, to a repressor protein and find that only 82 anchors are sufficient to compress the high-fitness sequence space with a compression ratio of 1048. The extreme compressibility of the space informs both applied biomolecular design and understanding of natural evolution.

Cathepsin-Targeting SARS-CoV-2 Inhibitors: Design, Synthesis, and Biological Activity

Cathepsins (Cats) are proteases that mediate the successful entry of SARS-CoV-2 into host cells. We designed and synthesized a tailored series of 21 peptidomimetics and evaluated their inhibitory activity against human cathepsins L, B, and S. Structural diversity was realized by combinations of different C-terminal warhead functions and N-terminal capping groups, while a central Leu-Phe fragment was maintained. Several compounds were identified as promising cathepsin L and S inhibitors with Ki values in the low nanomolar to subnanomolar range, for example, the peptide aldehydes 9a and 9b (9a, 2.67 nM, CatL; 0.455 nM, CatS; 9b, 1.76 nM, CatL; 0.512 nM, CatS). The compounds' inhibitory activity against the main protease of SARS-CoV-2 (Mpro) was additionally investigated. Based on the results at CatL, CatS, and Mpro, selected inhibitors were subjected to investigations of their antiviral activity in cell-based assays. In particular, the peptide nitrile 11e exhibited promising antiviral activity with an EC50 value of 38.4 nM in Calu-3 cells without showing cytotoxicity. High metabolic stability and favorable pharmacokinetic properties make 11e suitable for further preclinical development.

An isothermal calorimetry assay for determining steady state kinetic and enzyme inhibition parameters for SARS-CoV-2 3CL-protease

This manuscript describes the application of Isothermal Titration Calorimetry (ITC) to characterize the kinetics of 3CL pro from the Severe Acute Respiratory Syndrome CoronaVirus-2 (SARS-CoV-2) and its inhibition by Ensitrelvir, a known non-covalent inhibitor. 3CL pro is the main protease that plays a crucial role of producing the whole array of proteins necessary for the viral infection that caused the spread of COVID-19, responsible for millions of deaths worldwide as well as global economic and healthcare crises in recent years. The proposed calorimetric method proved to have several advantages over the two types of enzymatic assays so far applied to this system, namely Förster Resonance Energy Transfer (FRET) and Liquid Chromatography-Mass Spectrometry (LC-MS). The developed ITC-based assay provided a rapid response to 3CL pro activity, which was used to directly derive the kinetic enzymatic constants K M and k cat reliably and reproducibly, as well as their temperature dependence, from which the activation energy of the reaction was obtained for the first time. The assay further revealed the existence of two modes of inhibition of 3CL pro by Ensitrelvir, namely a competitive mode as previously inferred by crystallography as well as an unprecedented uncompetitive mode, further yielding the respective inhibition constants with high precision. The calorimetric method described in this paper is thus proposed to be generally and widely used in the discovery and development of drugs targeting 3CL pro .

On the origins of SARS-CoV-2 main protease inhibitors

In order to address the world-wide health challenge caused by the COVID-19 pandemic, the 3CL protease/SARS-CoV-2 main protease (SARS-CoV-2-Mpro) coded by its nsp5 gene became one of the biochemical targets for the design of antiviral drugs. In less than 3 years of research, 4 inhibitors of SARS-CoV-2-Mpro have actually been authorized for COVID-19 treatment (nirmatrelvir, ensitrelvir, leritrelvir and simnotrelvir) and more such as EDP-235, FB-2001 and STI-1558/Olgotrelvir or five undisclosed compounds (CDI-988, ASC11, ALG-097558, QLS1128 and H-10517) are undergoing clinical trials. This review is an attempt to picture this quite unprecedented medicinal chemistry feat and provide insights on how these cysteine protease inhibitors were discovered. Since many series of covalent SARS-CoV-2-Mpro inhibitors owe some of their origins to previous work on other proteases, we first provided a description of various inhibitors of cysteine-bearing human caspase-1 or cathepsin K, as well as inhibitors of serine proteases such as human dipeptidyl peptidase-4 or the hepatitis C protein complex NS3/4A. This is then followed by a description of the results of the approaches adopted (repurposing, structure-based and high throughput screening) to discover coronavirus main protease inhibitors.

Development of de-novo coronavirus 3-chymotrypsin-like protease (3CLpro) inhibitors since COVID-19 outbreak: A strategy to tackle challenges of persistent virus infection

Although no longer a public health emergency of international concern, COVID-19 remains a persistent and critical health concern. The development of effective antiviral drugs could serve as the ultimate piece of the puzzle to curbing this global crisis. 3-chymotrypsin-like protease (3CLpro), with its substrate specificity mirroring that of the main picornavirus 3C protease and conserved across various coronaviruses, emerges as an ideal candidate for broad-spectrum antiviral drug development. Moreover, it holds the potential as a reliable contingency option to combat emerging SARS-CoV-2 variants. In this light, the approved drugs, promising candidates, and de-novo small molecule therapeutics targeting 3CLpro since the COVID-19 outbreak in 2020 are discussed. Emphasizing the significance of diverse structural characteristics in inhibitors, be they peptidomimetic or nonpeptidic, with a shared mission to minimize the risk of cross-resistance. Moreover, the authors propose an innovative optimization strategy for 3CLpro reversible covalent PROTACs, optimizing pharmacodynamics and pharmacokinetics to better prepare for potential future viral outbreaks.

Applying the bioisosterism strategy to obtain lead compounds against SARS-CoV-2 cysteine proteases: An in-silico approach

SARS-CoV-2 cysteine proteases are essential nonstructural proteins due to their role in the formation of the virus multiple enzyme replication-transcription complex. As a result, those functional proteins are extremely relevant targets in the development of a new drug candidate to fight COVID-19. Based on this fact and guided by the bioisosterism strategy, the present work has selected 126 out of 1050 ligands from DrugBank website. Subsequently, 831 chemical analogs containing bioisosteres, some of which became structurally simplified, were created using the MB-Isoster software, and molecular docking simulations were performed using AutoDock Vina. Finally, a study of physicochemical properties, along with pharmacokinetic profiles, was carried out through SwissADME and ADMETlab 2.0 platforms. The promising results obtained with the molecules encoded as DB00549_BI_005, DB04868_BI_003, DB11984_BI_002, DB12364_BI_006 and DB12805_BI_004 must be confirmed by molecular dynamics studies, followed by in vitro and in vivo empirical tests that ratify the advocated in-silico results.

Molecular Mechanism of Labelling Functional Cysteines by Heterocyclic Thiones

Heterocyclic thiones have recently been identified as reversible covalent warheads, consistent with their mild electrophilic nature. Little is known so far about their mechanism of action in labelling nucleophilic sidechains, especially cysteines. The vast number of tractable cysteines promotes a wide range of target proteins to examine; however, our focus was put on functional cysteines. We chose the main protease of SARS-CoV-2 harboring Cys145 at the active site that is a structurally characterized and clinically validated target of covalent inhibitors. We screened an in-house, cysteine-targeting covalent inhibitor library which resulted in several covalent fragment hits with benzoxazole, benzothiazole and benzimidazole cores. Thione derivatives and Michael acceptors were selected for further investigations with the objective of exploring the mechanism of inhibition of the thiones and using the thoroughly characterized Michael acceptors for benchmarking our studies. Classical and hybrid quantum mechanical/molecular mechanical (QM/MM) molecular dynamics simulations were carried out that revealed a new mechanism of covalent cysteine labelling by thione derivatives, which was supported by QM and free energy calculations and by a wide range of experimental results. Our study shows that the molecular recognition step plays a crucial role in the overall binding of both sets of molecules.

Discovery of 3-oxo-1,2,3,4-tetrahydropyrido[1,2-a]pyrazin derivatives as SARS-CoV-2 main protease inhibitors through virtual screening and biological evaluation

The COVID-19 caused by SARS-CoV-2 has led to a global pandemic that continues to impact societies and economies worldwide. The main protease (Mpro) plays a crucial role in SARS-CoV-2 replication and is an attractive target for anti-SARS-CoV-2 drug discovery. Herein, we report a series of 3-oxo-1,2,3,4-tetrahydropyrido[1,2-a]pyrazin derivatives as non-peptidomimetic inhibitors targeting SARS-CoV-2 Mpro through structure-based virtual screening and biological evaluation. Further similarity search and structure-activity relationship study led to the identification of compound M56-S2 with the enzymatic IC50 value of 4.0 μM. Moreover, the molecular simulation and predicted ADMET properties, indicated that non-peptidomimetic inhibitor M56-S2 might serve as a useful starting point for the further discovery of highly potent inhibitors targeting SARS-CoV-2 Mpro.

Identification of Ebselen derivatives as novel SARS-CoV-2 main protease inhibitors: Design, synthesis, biological evaluation, and structure-activity relationships exploration

The main protease (Mpro) represents one of the most effective and attractive targets for designing anti-SARS-CoV-2 drugs. In this study, we designed and synthesized a novel series of Ebselen derivatives by incorporating privileged fragments from different pockets of the Mpro active site. Among these compounds, 11 compounds showed submicromolar activity in the FRET-based SARS-CoV-2 Mpro inhibition assay, with IC50 values ranging from 233 nM to 550 nM. Notably, compound 3a displayed submicromolar Mpro activity (IC50 = 364 nM) and low micromolar antiviral activity (EC50 = 8.01 µM), comparable to that of Ebselen (IC50 = 339 nM, EC50 = 3.78 µM). Time-dependent inhibition assay confirmed that these compounds acted as covalent inhibitors. Taken together, our optimization campaigns thoroughly explored the structural diversity of Ebselen and verified the impact of specific modifications on potency against Mpro.

In silico evidences of Mpro inhibition by a series of organochalcogen-AZT derivatives and their safety in Caenorhabditis elegans

BACKGROUND

The new coronavirus (SARS-CoV-2) pandemic emerged in 2019 causing millions of deaths. Vaccines were quickly developed and made available in 2021. Despite the availability of vaccines, some subjects refuse to take the immunizing or present comorbities, therefore developing serious cases of COVID-19, which makes necessary the development of antiviral drugs. Previous studies have demonstrated that ebselen, a selenium-containing molecule, can inhibit SARS-CoV-2 Mpro. In addition, selenium is a trace element that has antiviral and anti-inflammatory properties. Zidovudine (AZT) has been widely used against HIV infections and its action against SARS-CoV-2 may be altered by the structural modification with organochalcogen moieties, but this hypothesis still needs to be tested.

METHODS

In the present work we evaluated the Mpro inhibition capacity (in silico), the safety and antioxidant effect of six organochalcogen AZT-derivatives using the free-living nematode Caenorhabditis elegans, through acute (30 min) and chronic (48) exposure protocols.

RESULTS

We observed that the molecules were safe at a concentration range of 1-500 µM and did not alter any toxicological endpoint evaluated. Furthermore, the molecules are capable to decrease the ROS formation stimulated by hydrogen peroxide, to modulate the expression of important antioxidant enzymes such superoxide-dismutase-3 and glutathione S-transferese-4 and to stimulate the translocation of the DAF-16 to the cell nucleus. In addition, the molecules did not deplete thiol groups, which reinforces their safety and contribution to oxidative stress resistance.

CONCLUSIONS

We have found that compounds S116l (a Tellurium AZT-derivative) and S116h (a Selenium-AZT derivative) presented more promising effects both in silico and in vivo, being strong candidates for further in vivo studies.

Identification of a novel inhibitor of SARS-CoV-2 main protease: an in silico, biochemical, and cell-based approach

The recurrent nature of coronavirus outbreaks, severity of the COVID-19 pandemic, rapid emergence of novel variants, and concerns over the effectiveness of existing vaccines against novel variants have highlighted the need to develop therapeutic interventions. Targeted efforts to identify inhibitors of crucial viral proteins are the preferred strategy. In this study, we screened FDA-approved and natural product libraries using in silico approach for potential hits against the SARS-CoV-2 main protease (Mpro) and experimentally validated their potency using in vitro biochemical and cell-based assays. Seven potential hits were identified through in silico screening and were subsequently evaluated in SARS-CoV-2-based cell-free assays, followed by testing in the HCoV-229E-based culture system. Of the tested compounds, 4-(3,4-dihydroxyphenyl)-6,7-dihydroxy-1-isopropyl-1H-benzofuro[3,2-b]pyrazolo[4,3-e]pyridin-3(2H)-one (PubChem CID:71755304, hereafter referred to as STL522228) exhibited significant antiviral activity. Subsequently, its potential as a novel COVID therapeutic molecule was validated in the SARS-CoV-2-culture system, where STL522228 demonstrated superior antiviral activity (EC50  = 0.44 μm) compared to Remdesivir (EC50  = 0.62 μm). Based on these findings, we report the strong anti-coronavirus activity of STL522228, and propose that it as a promising pan-coronavirus Mpro inhibitor for further experimental and preclinical validation.

Attention Mechanism-Based Graph Neural Network Model for Effective Activity Prediction of SARS-CoV-2 Main Protease Inhibitors: Application to Drug Repurposing as Potential COVID-19 Therapy

Compared to de novo drug discovery, drug repurposing provides a time-efficient way to treat coronavirus disease 19 (COVID-19) that is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). SARS-CoV-2 main protease (Mpro) has been proved to be an attractive drug target due to its pivotal involvement in viral replication and transcription. Here, we present a graph neural network-based deep-learning (DL) strategy to prioritize the existing drugs for their potential therapeutic effects against SARS-CoV-2 Mpro. Mpro inhibitors were represented as molecular graphs ready for graph attention network (GAT) and graph isomorphism network (GIN) modeling for predicting the inhibitory activities. The result shows that the GAT model outperforms the GIN and other competitive models and yields satisfactory predictions for unseen Mpro inhibitors, confirming its robustness and generalization. The attention mechanism of GAT enables to capture the dominant substructures and thus to realize the interpretability of the model. Finally, we applied the optimal GAT model in conjunction with molecular docking simulations to screen the Drug Repurposing Hub (DRH) database. As a result, 18 drug hits with best consensus prediction scores and binding affinity values were identified as the potential therapeutics against COVID-19. Both the extensive literature searching and evaluations on adsorption, distribution, metabolism, excretion, and toxicity (ADMET) illustrate the premium drug-likeness and pharmacokinetic properties of the drug candidates. Overall, our work not only provides an effective GAT-based DL prediction tool for inhibitory activity of SARS-CoV-2 Mpro inhibitors but also provides theoretical guidelines for drug discovery in the COVID-19 treatment.

Discovery of highly potent covalent SARS-CoV-2 3CLpro inhibitors bearing 2-sulfoxyl-1,3,4-oxadiazole scaffold for combating COVID-19

The coronavirus disease (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has emerged as a major public health crisis, posing a significant threat to human well-being. Despite the availability of vaccines, COVID-19 continues to spread owing to the emergence of SARS-CoV-2 mutants. This highlights the urgent need for the discovery of more effective drugs to combat COVID-19. As an important target for COVID-19 treatment, 3C-like protease (3CLpro) plays a crucial role in the replication of SARS-CoV-2. In our previous research, we demonstrated the potent inhibitory activities of compound A1, which contains a 2-sulfonyl-1,3,4-oxadiazole scaffold, against SARS-CoV-2 3CLpro. Herein, we present a detailed investigation of structural optimization of A1 and conduct a study on the structure-activity relationship. Among the various compounds tested, sulfoxide D6 demonstrates a potent irreversible inhibitory activity (IC50 = 0.030 μM) against SARS-CoV-2 3CLpro, as well as a favorable selectivity towards host cysteine proteases such as cathepsin B and cathepsin L. Utilizing mass spectrometry-based peptide profiling, we found that D6 covalently binds to Cys145 of SARS-CoV-2 3CLpro. Some representative compounds, namely C11, D9 and D10 also demonstrates antiviral activity against SARS-CoV-2 in Vero E6 cells. Overall, the investigation of the 2-sulfoxyl-1,3,4-oxadiazole scaffold as a novel cysteine reactive warhead would provide valuable insights into the design of potent covalent 3CLpro inhibitors for COVID-19 treatment.

Developing a SARS-CoV-2 main protease binding prediction random forest model for drug repurposing for COVID-19 treatment

The coronavirus disease 2019 (COVID-19) global pandemic resulted in millions of people becoming infected with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus and close to seven million deaths worldwide. It is essential to further explore and design effective COVID-19 treatment drugs that target the main protease of SARS-CoV-2, a major target for COVID-19 drugs. In this study, machine learning was applied for predicting the SARS-CoV-2 main protease binding of Food and Drug Administration (FDA)-approved drugs to assist in the identification of potential repurposing candidates for COVID-19 treatment. Ligands bound to the SARS-CoV-2 main protease in the Protein Data Bank and compounds experimentally tested in SARS-CoV-2 main protease binding assays in the literature were curated. These chemicals were divided into training (516 chemicals) and testing (360 chemicals) data sets. To identify SARS-CoV-2 main protease binders as potential candidates for repurposing to treat COVID-19, 1188 FDA-approved drugs from the Liver Toxicity Knowledge Base were obtained. A random forest algorithm was used for constructing predictive models based on molecular descriptors calculated using Mold2 software. Model performance was evaluated using 100 iterations of fivefold cross-validations which resulted in 78.8% balanced accuracy. The random forest model that was constructed from the whole training dataset was used to predict SARS-CoV-2 main protease binding on the testing set and the FDA-approved drugs. Model applicability domain and prediction confidence on drugs predicted as the main protease binders discovered 10 FDA-approved drugs as potential candidates for repurposing to treat COVID-19. Our results demonstrate that machine learning is an efficient method for drug repurposing and, thus, may accelerate drug development targeting SARS-CoV-2.

Design and synthesis of isatin derivatives as effective SARS-CoV-2 3CL protease inhibitors

SARS-CoV-2 chymotrypsin-like cysteine protease (3CLpro ) is one of the most widely developed drug targets for COVID-19. This study aimed to design and synthesize isatin derivatives to target SARS-CoV-2 3CLpro in a covalent binding manner. Through the process, a potent 3CLpro inhibitor (5g) was discovered with an IC50 value of 0.43 ± 0.17 μM. To understand the binding affinity and specificity of 5g as a candidate inhibitor of SARS-CoV-2 3CLpro , several assays were conducted, including FRET enzyme activity assays, thermodynamic-based and kinetic-based validation of inhibitor-target interactions, and cell-based FlipGFP assays. The interaction mechanism between 3CLpro -5g was characterized by docking. Overall, these findings suggest that 5g is a new potent SARS-CoV-2 3CLpro inhibitor for the treatment of COVID-19.

Inhibitors of SARS-CoV-2 main protease: Biological efficacy and toxicity aspects

The emergence of the highly contagious respiratory disease, COVID-19, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become a significant global public health concern. To combat this virus, researchers have focused on developing antiviral strategies that target specific viral components, such as the main protease (Mpro), which plays a crucial role in SARS-CoV-2 replication. While many compounds have been identified as potent inhibitors of Mpro, only a few have been translated into clinical use due to the potential risk-benefit trade-offs. Development of systemic inflammatory response and bacterial co-infection in patients belong to severe, frequent complications of COVID-19. In this context, we analysed available data on the anti-inflammatory and antibacterial activities of the SARS-CoV-2 Mpro inhibitors for possible implementation in the treatment of complicated and long COVID-19 cases. Synthetic feasibility and ADME properties were calculated and included for better characterisation of the compounds' predicted toxicity. Analysis of the collected data resulted in several clusters pointing to the most prospective compounds for further study and design. The complete tables with collected data are attached in Supplementary material for use by other researchers.

Analyzing 3D structures of the SARS-CoV-2 main protease reveals structural features of ligand binding for COVID-19 drug discovery

The severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) main protease has an essential role in viral replication and has become a major target for coronavirus 2019 (COVID-19) drug development. Various inhibitors have been discovered or designed to bind to the main protease. The availability of more than 550 3D structures of the main protease provides a wealth of structural details on the main protease in both ligand-free and ligand-bound states. Therefore, we examined these structures to ascertain the structural features for the role of the main protease in the cleavage of polyproteins, the alternative conformations during main protease maturation, and ligand interactions in the main protease. The structural features unearthed could promote the development of COVID-19 drugs targeting the SARS-CoV-2 main protease.

Evaluation of the Inhibition Potency of Nirmatrelvir against Main Protease Mutants of SARS-CoV-2 Variants

SARS-CoV-2 continues to pose a threat to public health. Main protease (Mpro) is one of the most lucrative drug targets for developing specific antivirals against SARS-CoV-2 infection. By targeting Mpro, peptidomimetic nirmatrelvir is able to inhibit viral replication of SARS-CoV-2 and reduce the risk for progression to severe COVID-19. However, multiple mutations in the gene encoding Mpro of emerging SARS-CoV-2 variants raise a concern of drug resistance. In the present study, we expressed 16 previously reported SARS-CoV-2 Mpro mutants (G15S, T25I, T45I, S46F, S46P, D48N, M49I, L50F, L89F, K90R, P132H, N142S, V186F, R188K, T190I, and A191V). We evaluated the inhibition potency of nirmatrelvir against these Mpro mutants and solved the crystal structures of representative Mpro mutants of SARS-CoV-2 bound to nirmatrelvir. Enzymatic inhibition assays revealed that these Mpro variants remain susceptible to nirmatrelvir as the wildtype. Detailed analysis and structural comparison provided the inhibition mechanism of Mpro mutants by nirmatrelvir. These results informed the ongoing genomic surveillance of drug resistance of emerging SARS-CoV-2 variants to nirmatrelvir and facilitate the development of next-generation anticoronavirus drugs.

Crystal structures of main proteases of SARS-CoV-2 variants bound to a benzothiazole-based inhibitor

Main protease (M pro) serves as an indispensable factor in the life cycle of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as well as its constantly emerging variants and is therefore considered an attractive target for antiviral drug development. Benzothiazole-based inhibitors targeting M pro have recently been investigated by several groups and proven to be promising leads for coronaviral drug development. In the present study, we determine the crystal structures of a benzothiazole-based inhibitor, YH-53, bound to M pro mutants from SARS-CoV-2 variants of concern (VOCs) or variants of interest (VOIs), including K90R (Beta, B.1.351), G15S (Lambda, C.37), Y54C (Delta, AY.4), M49I (Omicron, BA.5) and P132H (Omicron, B.1.1.529). The structures show that the benzothiazole group in YH-53 forms a C-S covalent bond with the sulfur atom of catalytic residue Cys145 in SARS-CoV-2 M pro mutants. Structural analysis reveals the key molecular determinants necessary for interaction and illustrates the binding mode of YH-53 to these mutant M pros. In conclusion, structural insights from this study offer more information to develop benzothiazole-based drugs that are broader spectrum, more effective and safer.

Structure-guided design of direct-acting antivirals that exploit the gem-dimethyl effect and potently inhibit 3CL proteases of severe acute respiratory syndrome Coronavirus-2 (SARS-CoV-2) and middle east respiratory syndrome coronavirus (MERS-CoV)

The high morbidity and mortality associated with SARS-CoV-2 infection, the etiological agent of COVID-19, has had a major impact on global public health. Significant progress has been made in the development of an array of vaccines and biologics, however, the emergence of SARS-CoV-2 variants and breakthrough infections are an ongoing major concern. Furthermore, there is an existing paucity of small-molecule host and virus-directed therapeutics and prophylactics that can be used to counter the spread of SARS-CoV-2, and any emerging and re-emerging coronaviruses. We describe herein our efforts to address this urgent need by focusing on the structure-guided design of potent broad-spectrum inhibitors of SARS-CoV-2 3C-like protease (3CLpro or Main protease), an enzyme essential for viral replication. The inhibitors exploit the directional effects associated with the presence of a gem-dimethyl group that allow the inhibitors to optimally interact with the S4 subsite of the enzyme. Several compounds were found to potently inhibit SARS-CoV-2 and MERS-CoV 3CL proteases in biochemical and cell-based assays. Specifically, the EC50 values of aldehyde 1c and its corresponding bisulfite adduct 1d against SARS-CoV-2 were found to be 12 and 10 nM, respectively, and their CC50 values were >50 μM. Furthermore, deuteration of these compounds yielded compounds 2c/2d with EC50 values 11 and 12 nM, respectively. Replacement of the aldehyde warhead with a nitrile (CN) or an α-ketoamide warhead or its corresponding bisulfite adduct yielded compounds 1g, 1eand1f with EC50 values 60, 50 and 70 nM, respectively. High-resolution cocrystal structures have identified the structural determinants associated with the binding of the inhibitors to the active site of the enzyme and, furthermore, have illuminated the mechanism of action of the inhibitors. Overall, the high Safety Index (SI) (SI=CC50/EC50) displayed by these compounds suggests that they are well-suited to conducting further preclinical studies.

Therapeutic strategies for COVID-19: progress and lessons learned

The coronavirus disease 2019 (COVID-19) pandemic has stimulated tremendous efforts to develop therapeutic strategies that target severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and/or human proteins to control viral infection, encompassing hundreds of potential drugs and thousands of patients in clinical trials. So far, a few small-molecule antiviral drugs (nirmatrelvir-ritonavir, remdesivir and molnupiravir) and 11 monoclonal antibodies have been marketed for the treatment of COVID-19, mostly requiring administration within 10 days of symptom onset. In addition, hospitalized patients with severe or critical COVID-19 may benefit from treatment with previously approved immunomodulatory drugs, including glucocorticoids such as dexamethasone, cytokine antagonists such as tocilizumab and Janus kinase inhibitors such as baricitinib. Here, we summarize progress with COVID-19 drug discovery, based on accumulated findings since the pandemic began and a comprehensive list of clinical and preclinical inhibitors with anti-coronavirus activities. We also discuss the lessons learned from COVID-19 and other infectious diseases with regard to drug repurposing strategies, pan-coronavirus drug targets, in vitro assays and animal models, and platform trial design for the development of therapeutics to tackle COVID-19, long COVID and pathogenic coronaviruses in future outbreaks.

Discovery of quinazolin-4-one-based non-covalent inhibitors targeting the severe acute respiratory syndrome coronavirus 2 main protease (SARS-CoV-2 Mpro)

The COVID-19 pandemic caused by SARS-CoV-2 continues to pose a great threat to public health while various vaccines are available worldwide. Main protease (M^pro) has been validated as an effective anti-COVID-19 drug target. Using medicinal chemistry and rational drug design strategies, we identified a quinazolin-4-one series of nonpeptidic, noncovalent SARS-CoV-2 M^pro inhibitors based on baicalein, 5,6,7-trihydroxy-2-phenyl-4H-chromen-4-one. In particular, compound C7 exhibits superior inhibitory activity against SARS-CoV-2 M^pro relative to baicalein (IC₅₀ = 0.085 ± 0.006 and 0.966 ± 0.065 μM, respectively), as well as improved physicochemical and drug metabolism and pharmacokinetics (DMPK) properties. In addition, C7 inhibits viral replication in SARS-CoV-2-infected Vero E6 cells more effectively than baicalein (EC₅₀ = 1.10 ± 0.12 and 5.15 ± 1.64 μM, respectively) with low cytotoxicity (CC₅₀ ＞ 50 μM). An X-ray co-crystal structure reveals a non-covalent mechanism of action, and a noncanonical binding mode not observed by baicalein. These results suggest that C7 represents a promising lead for development of more effective SARS-CoV-2 M^pro inhibitors and anti-COVID-19 drugs.

Design, synthesis and biological evaluation of peptidomimetic benzothiazolyl ketones as 3CLpro inhibitors against SARS-CoV-2

A series of peptidomimetic compounds containing benzothiazolyl ketone and [2.2.1] azabicyclic ring was designed, synthesized and evaluated in the hope of obtaining potent oral 3CL^pro inhibitors with improved pharmacokinetic properties. Among the target compounds, 11b had the best enzymatic potency (IC₅₀ = 0.110 μM) and 11e had the best microsomal stability (t_1/2 > 120 min) and good enzyme activity (IC₅₀ = 0.868 μM). Therefore, compounds 11b and 11e were chosen for further evaluation of pharmacokinetics in ICR mice. The results exhibited that the AUC_(0-t) of 11e was 5143 h*ng/mL following single-dose oral administration of 20 mg/kg, and the F was 67.98%. Further structural modification was made to obtain compounds 11g-11j based on 11e. Among them, 11j exhibited the best enzyme inhibition activity against SARS-CoV-2 3CL^pro (IC₅₀ = 1.646 μM), the AUC_(0-t) was 32473 h*ng/mL (20 mg/kg, po), and the F was 48.1%. In addition, 11j displayed significant anti-SARS-CoV-2 activity (EC₅₀ = 0.18 μM) and low cytotoxicity (CC₅₀ > 50 μM) in Vero E6 cells. All of the above results suggested that compound 11j was a promising lead compound in the development of oral 3CL^pro inhibitors and deserved further research.

Design, synthesis and biological evaluation of covalent peptidomimetic 3CL protease inhibitors containing nitrile moiety

In this paper, a series of peptidomimetic SARS-CoV-2 3CL protease inhibitors with new P2 and P4 positions were synthesized and evaluated. Among these compounds, 1a and 2b exhibited obvious 3CLpro inhibitory activities with IC50 of 18.06 nM and 22.42 nM, respectively. 1a and 2b also showed excellent antiviral activities against SARS-CoV-2 in vitro with EC50 of 313.0 nM and 170.2 nM, respectively, the antiviral activities of 1a and 2b were 2- and 4-fold better than that of nirmatrelvir, respectively. In vitro studies revealed that these two compounds had no significant cytotoxicity. Further metabolic stability tests and pharmacokinetic studies showed that the metabolic stability of 1a and 2b in liver microsomes was significantly improved, and 2b had similar pharmacokinetic parameters to that of nirmatrelvir in mice.

Dock-able linear and homodetic di, tri, tetra and pentapeptide library from canonical amino acids: SARS-CoV-2 Mpro as a case study

Peptide-based therapeutics are increasingly pushing to the forefront of biomedicine with their promise of high specificity and low toxicity. Although noncanonical residues can always be used, employing only the natural 20 residues restricts the chemical space to a finite dimension allowing for comprehensive in silico screening. Towards this goal, the dataset comprising all possible di-, tri-, and tetra-peptide combinations of the canonical residues has been previously reported. However, with increasing computational power, the comprehensive set of pentapeptides is now also feasible for screening as the comprehensive set of cyclic peptides comprising four or five residues. Here, we provide both the complete and prefiltered libraries of all di-, tri-, tetra-, and penta-peptide sequences from 20 canonical amino acids and their homodetic (N-to-C-terminal) cyclic homologues. The FASTA, simplified molecular-input line-entry system (SMILES), and structure-data file (SDF)-three dimension (3D) libraries can be readily used for screening against protein targets. We also provide a simple method and tool for conducting identity-based filtering. Access to this dataset will accelerate small peptide screening workflows and encourage their use in drug discovery campaigns. As a case study, the developed library was screened against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) main protease to identify potential small peptide inhibitors.

Modular enantioselective access to β-amino amides by Brønsted acid-catalysed multicomponent reactions

β-Amino acids are structural motifs widely found in therapeutic natural products, novel biomimetic polymers and peptidomimetics. As a convergent method, the synthesis of stereoenriched β-amino amides through the asymmetric Mannich reaction requires specialized amide substrates or a metal catalyst for enolate formation. By a redesign of the Ugi reaction, a conceptually different solution to prepare chiral β-amino amides was established using ambiphilic ynamides as two-carbon synthons. The modulation of ynamides or oxygen nucleophiles concisely furnished three classes of β-amino amides with generally good efficiency as well as excellent chemo- and stereo-control. The utility is verified in the preparation of over 100 desired products that bear one or two contiguous carbon stereocentres, including those that directly incorporate drug molecules. This advance also provides a synthetic shortcut to other valuable structures. The amino amides could be elaborated into β-amino acids, anti-vicinal diamines, γ-amino alcohols and β-lactams or undergo transamidation with amino acids and amine-containing pharmaceuticals.

An Azapeptide Platform in Conjunction with Covalent Warheads to Uncover High-Potency Inhibitors for SARS-CoV-2 Main Protease

Main protease (M _Pro ) of SARS-CoV-2, the viral pathogen of COVID-19, is a crucial nonstructural protein that plays a vital role in the replication and pathogenesis of the virus. Its protease function relies on three active site pockets to recognize P1, P2, and P4 amino acid residues in a substrate and a catalytic cysteine residue for catalysis. By converting the P1 Cα atom in an M _Pro substrate to nitrogen, we showed that a large variety of azapeptide inhibitors with covalent warheads targeting the M _Pro catalytic cysteine could be easily synthesized. Through the characterization of these inhibitors, we identified several highly potent M _Pro inhibitors. Specifically, one inhibitor, MPI89 that contained an aza-2,2-dichloroacetyl warhead, displayed a 10 nM EC ₅₀ value in inhibiting SARS-CoV-2 from infecting ACE2 ₊ A549 cells and a selectivity index of 875. The crystallography analyses of M _Pro bound with 6 inhibitors, including MPI89, revealed that inhibitors used their covalent warheads to covalently engage the catalytic cysteine and the aza-amide carbonyl oxygen to bind to the oxyanion hole. MPI89 represents one of the most potent M _Pro inhibitors developed so far, suggesting that further exploration of the azapeptide platform and the aza-2,2-dichloroacetyl warhead is needed for the development of potent inhibitors for the SARS-CoV-2 M _Pro as therapeutics for COVID-19.