Coronavirus Main Protease Research Articles

Identification of Potent, Broad-Spectrum Coronavirus Main Protease Inhibitors for Pandemic Preparedness.

The COVID-19 pandemic highlights the ongoing risk of zoonotic transmission of coronaviruses to global health. To prepare for future pandemics, it is essential to develop effective antivirals targeting a broad range of coronaviruses. Targeting the essential and clinically validated coronavirus main protease (Mpro), we constructed a structurally diverse Mpro panel by clustering all known coronavirus sequences by Mpro active site sequence similarity. Through screening, we identified a potent covalent inhibitor that engaged the catalytic cysteine of SARS-CoV-2 Mpro and used structure-based medicinal chemistry to develop compounds in the pyrazolopyrimidine sulfone series that exhibit submicromolar activity against multiple Mpro homologues. Additionally, we solved the first X-ray cocrystal structure of Mpro from the human-infecting OC43 coronavirus, providing insights into potency differences among compound-target pairs. Overall, the chemical compounds described in this study serve as starting points for the development of antivirals with broad-spectrum activity, enhancing our preparedness for emerging human-infecting coronaviruses.

Insilico assessment of hesperidin on SARS-CoV-2 main protease and RNA polymerase: Molecular docking and dynamics simulation approach

The present study uses molecular docking and dynamic simulations to evaluate the inhibitory effect of flavonoid glycosides-based compounds on coronavirus Main protease (Mpro) and RNA polymerase. The Molegro Virtual Docker (MVD) software is utilized to simulate and calculate the binding parameters of compounds with coronavirus. The docking results show that the selected herbal compounds are more effective than those of chemical compounds. It is also revealed that five herbal ligands and two chemical ligands have the best docking scores. Furthermore, a Molecular Dynamics (MD) simulation was conducted for Hesperidin, confirming docking results. Analysis based on different parameters such as Root-mean-square deviation (RMSD), Root mean square fluctuation (RMSF), Radius of gyration (Rg), Solvent accessibility surface area (SASA), and the total number of hydrogen bonds suggests that Hesperidin formed a stable complex with Mpro. Absorption, Distribution, Metabolism, Excretion, And Toxicity (ADMET) analysis was performed to compare Hesperidin and Grazoprevir as potential antiviral medicines, evaluating both herbal and chemical ligand results. According to the study, herbal compounds could be effective on coronavirus and are admissible candidates for developing potential operative anti-viral medicines. Hesperidin was found to be the most acceptable interaction. Grazoprevir is an encouraging candidate for drug development and clinical trials, with the potential to become a highly effective Mpro inhibitor. Compared to RNA polymerase, Mpro showed a greater affinity for bonding with Hesperidin. van der Waals and electrostatic energies dominated, creating a stable Hesperidin-Mpro and Hesperidin-RNA polymerase complex.

Structural Elucidation and Antiviral Activity of Covalent Cathepsin L Inhibitors.

Emerging RNA viruses, including SARS-CoV-2, continue to be a major threat. Cell entry of SARS-CoV-2 particles via the endosomal pathway involves cysteine cathepsins. Due to ubiquitous expression, cathepsin L (CatL) is considered a promising drug target in the context of different viral and lysosome-related diseases. We characterized the anti-SARS-CoV-2 activity of a set of carbonyl- and succinyl epoxide-based inhibitors, which were previously identified as inhibitors of cathepsins or related cysteine proteases. Calpain inhibitor XII, MG-101, and CatL inhibitor IV possess antiviral activity in the very low nanomolar EC50 range in Vero E6 cells and inhibit CatL in the picomolar Ki range. We show a relevant off-target effect of CatL inhibition by the coronavirus main protease α-ketoamide inhibitor 13b. Crystal structures of CatL in complex with 14 compounds at resolutions better than 2 Å present a solid basis for structure-guided understanding and optimization of CatL inhibitors toward protease drug development.

On Inactivation of the Coronavirus Main Protease.

A deeper understanding of the inactive conformations of the coronavirus main protease (MPro) could inform the design of allosteric drugs. Based on extensive molecular dynamics simulations, we built a Markov State Model to investigate structural changes that can inactivate the SARS-CoV-2 MPro. In a subset of structures, one subunit of the homodimer assumes an inactive conformation that resembles an inactive crystal structure. However, contradicting the widely held half-of-sites activity hypothesis, the most populated enzyme structures have two active subunits. We then used transition path theory (TPT) and the Jensen-Shannon Divergence (JSD) to pinpoint residues involved in the inactivation process. A π stack between Phe140 and His163 is a key feature that can distinguish active and inactive conformations of MPro. Each subunit has unique inactive conformations stabilized by π stacking interactions involving residues Phe140, Tyr118, His163, and His172, a hydrogen bonding network centered around His163 and His172, and a modified network of interactions in the dimer interface. The importance of these residues in maintaining an active structure explains the sensitivity of enzymatic activity to site-directed mutagenesis.

Proposing of fungal endophyte secondary metabolites as a potential inhibitors of 2019-novel coronavirus main protease using docking and molecular dynamics

In this study, the inhibitory potential of 99 fungal derived secondary metabolites was predicted against SARS-CoV-2 main protease by using of computational approaches. This protein plays an important role in replication and is one of the important targets to inhibit viral reproduction. Among the 99 reported compounds, the 9 of them with the highest binding energy to Mpro obtained from the molecular docking method were selected for the molecular dynamic simulations. The compounds were then investigated by using the SwissADME serve to evaluate the compounds in terms of pharmacokinetic and druglikness properties. The overall results of different analysis show that the compound RKS-1778 is potentially more effective than others and form strong complexes with viral protease. It also had better pharmacokinetic properties than other metabolites, so predicted to be a suitable candidate as anti SARS-CoV-2 bioactive. Communicated by Ramaswamy H. Sarma

Predictive Assessment of the Antiviral Properties of Imperata cylindrica against SARS-CoV-2.

The omicron variant and its sublineages are highly contagious, and they still constitute a global source of concern despite vaccinations. Hospitalizations and mortality rates resulting from infections by these variants of concern are still common. The existing therapeutic alternatives have presented various setbacks such as low potency, poor pharmacokinetic profiles, and drug resistance. The need for alternative therapeutic options cannot be overemphasized. Plants and their phytochemicals present interesting characteristics that make them suitable candidates for the development of antiviral therapeutic agents. This study aimed to investigate the antiviral potential of Imperata cylindrica (I. cylindrica). Specifically, the objective of this study was to identify I. cylindrica phytochemicals that display inhibitory effects against SARS-CoV-2 main protease (Mpro), a highly conserved protein among coronaviruses. Molecular docking and in silico pharmacokinetic assays were used to assess 72 phytocompounds that are found in I. cylindrica as ligands and Mpro (6LU7) as the target. Only eight phytochemicals (bifendate, cylindrene, tabanone, siderin, 5-hydroxy-2-[2-(2-hydroxyphenyl)ethyl]-4H-1-benzopyran-4-one, maritimin, 5-methoxyflavone, and flavone) displayed high binding affinities with Mpro with docking scores ranging from -5.6 kcal/mol to -9.1 kcal/mol. The in silico pharmacokinetic and toxicological assays revealed that tabanone was the best and safest phytochemical for the development of an inhibitory agent against coronavirus main protease. Thus, the study served as a baseline for further in vitro and in vivo assessment of this phytochemical against Mpro of SARS-CoV-2 variants of concern to validate these in silico findings.

Evaluation of in vitro antiviral activity of SARS-CoV-2 Mpro inhibitor pomotrelvir and cross-resistance to nirmatrelvir resistance substitutions.

The unprecedented scale of the COVID-19 pandemic and the rapid evolution of SARS-CoV-2 variants underscore the need for broadly active inhibitors with a high barrier to resistance. The coronavirus main protease (Mpro) is an essential cysteine protease required for viral polyprotein processing and is highly conserved across human coronaviruses. Pomotrelvir is a novel Mpro inhibitor that has recently completed a phase 2 clinical trial. In this report, we demonstrated that pomotrelvir is a potent competitive inhibitor of SARS-CoV-2 Mpro with high selectivity against human proteases. In the enzyme assay, pomotrelvir is also active against Mpro proteins derived from human coronaviruses CoV-229E, CoV-OC43, CoV-HKU1, CoV-NL63, MERS, and SARS-CoV. In cell-based SARS-CoV-2 replicon and SARS-CoV-2 infection assays, pomotrelvir has shown potent inhibitory activity and is broadly active against SARS-CoV-2 clinical isolates including Omicron variants. Many resistance substitutions of the Mpro inhibitor nirmatrelvir confer cross-resistance to pomotrelvir, consistent with the finding from our enzymatic analysis that pomotrelvir and nirmatrelvir compete for the same binding site. In a SARS-CoV-2 infection assay, pomotrelvir is additive when combined with remdesivir or molnupiravir, two nucleoside analogs targeting viral RNA synthesis. In conclusion, our results from the in vitro characterization of pomotrelvir antiviral activity support its further clinical development as an alternative COVID-19 therapeutic option.

Efficacy and safety of SIM0417 (SSD8432) plus ritonavir for COVID-19 treatment: a randomised, double-blind, placebo-controlled, phase 1b trial

SIM0417 (SSD8432) is an orally administered coronavirus main proteinase (3CLpro) inhibitor with potential anti-SARS-CoV-2 activity. This study aimed to evaluate the efficacy and safety of SIM0417 plus ritonavir (a pharmacokinetic enhancer) in adults with COVID-19. This was a randomised, double-blind, placebo-controlled, phase 1b study in China. Adults with asymptomatic infection, mild or moderate COVID-19 were randomly assigned (3:3:2) to receive either 750mg SIM0417 plus 100mg ritonavir, 300mg SIM0417 plus 100mg ritonavir or placebo every 12h for 10 doses. The main efficacy endpoints included SARS-CoV-2 viral load, proportion of participants with positive SARS-CoV-2 nucleic acid test and time to alleviation of COVID-19 symptoms. This trial is registered with ClinicalTrials.gov, NCT05369676. Between May 12 and August 29, 2022, 32 participants were enrolled and randomised to high dose group (n=12), low dose group (n=12) or placebo (n=8). The viral load change from baseline in high dose group was statistically lower compared with placebo, with a maximum mean difference of-2.16±0.761 log10 copies/mL (p=0.0124) on Day 4. The proportion of positive SARS-CoV-2 in both active groups were lower than the placebo. The median time to sustained alleviation of COVID-19 symptoms was 2.0 days in high dose group versus 6.0 days in the placebo group (HR=3.08, 95% CI 0.968-9.818). SIM0417 plus ritonavir were well tolerated with all adverse events in grade1. SIM0417 plus ritonavir was generally well tolerated. The efficacy of SIM0417 showed a monotonic dose-response relationship, and the 750mg SIM0417 plus 100mg ritonavir was selected as the recommended clinical dose. The study was funded by Jiangsu Simcere Pharmaceutical Co., Ltd.

A suitable drug structure for interaction with SARS‐CoV‐2 main protease between boceprevir, masitinib and rupintrivir; a molecular dynamics study

In recent years, more than 200 countries of the world have faced a health crisis due to the epidemiological disease of COVID-19 caused by the SARS-CoV-2 virus. It had a huge impact on the world economy and the global health sector. Researchers are studying the design and discovery of drugs that can inhibit SARS‐CoV‐2. The main protease of SARS‐CoV‐2 is an attractive target for the study of antiviral drugs against coronavirus diseases. According to the docking results, binding energy for boceprevir, masitinib and rupintrivir with CMP are −10.80, −9.39, and −9.51 kcal/mol respectively. Also, for all investigated systems, van der Waals and electrostatic interactions are quite favorable for binding the drugs to SARS-CoV-2 coronavirus main protease, indicating confirmation of the complex stability.

Discovery of Potent Pyrazoline-Based Covalent SARS-CoV-2 Main Protease Inhibitors.

Among the various genes and proteins encoded by all coronaviruses, one particularly "druggable" or relatively easy-to-drug target is the coronavirus Main Protease (3CLproor Mpro), an enzyme that is involved in cleaving a long peptide translated by the viral genome into its individual protein components that are then assembled into the virus to enable viral replication in the cell. Inhibiting Mpro with a small-molecule antiviral would effectively stop the ability of the virus to replicate, providing therapeutic benefit. In this study, we have utilized activity-based protein profiling (ABPP)-based chemoproteomic approaches to discover and further optimize cysteine-reactive pyrazoline-based covalent inhibitors for the SARS-CoV-2 Mpro. Structure-guided medicinal chemistry and modular synthesis of di- and tri-substituted pyrazolines bearing either chloroacetamide or vinyl sulfonamide cysteine-reactive warheads enabled the expedient exploration of structure-activity relationships (SAR), yielding nanomolar potency inhibitors against Mpro from not only SARS-CoV-2, but across many other coronaviruses. Our studies highlight promising chemical scaffolds that may contribute to future pan-coronavirus inhibitors.

Structural analysis of the coronavirus main protease for the design of pan-variant inhibitors

With the rapid rate of SARS-CoV-2 Main protease (Mpro) structures deposition, a computational method that can combine all the useful structural features becomes crucial. This research focuses on the frequently occurring atoms and residues to find a generalized strategy for inhibitor design given a large amount of protein complexes from SARS-CoV in contrast to SARS-CoV-2 Mpro. By superposing large numbers of the ligands onto the protein template and grid box, we can analyse which part of the structure is conserved from position-specific interaction for both data sets for the development of pan-Mpro antiviral design. The difference in conserved recognition sites from the crystal structures can be used to determine specificity determining residues for designing selective drugs. We can display pictures of the imaginary shape of the ligand by unionising all atoms from the ligand. We also pinpoint the most probable atom adjustments to imitate the frequently found densities from the ligand atoms statistics. With molecular docking, Molecular Dynamics simulation, and MM-PBSA methods, a carbonyl replacement at the nitrile warhead (N5) of Paxlovid’s Nirmatrelvir (PF-07321332) was suggested. By gaining insights into the selectivity and promiscuity regions for proteins and ligands, crucial residues are highlighted, and the antiviral design strategies are proposed.

Empirical Optimization of Peptide Sequence and Nanoparticle Colloidal Stability: The Impact of Surface Ligands and Implications for Colorimetric Sensing.

Surface ligands play a critical role in controlling and defining the properties of colloidal nanocrystals. These aspects have been exploited to design nanoparticle aggregation-based colorimetric sensors. Here, we coated 13-nm gold nanoparticles (AuNPs) with a large library of ligands (e.g., from labile monodentate monomers to multicoordinating macromolecules) and evaluated their aggregation propensity in the presence of three peptides containing charged, thiolate, or aromatic amino acids. Our results show that AuNPs coated with the polyphenols and sulfonated phosphine ligands were good choices for electrostatic-based aggregation. AuNPs capped with citrate and labile-binding polymers worked well for dithiol-bridging and π-π stacking-induced aggregation. In the example of electrostatic-based assays, we stress that good sensing performance requires aggregating peptides of low charge valence paired with charged NPs with weak stability and vice versa. We then present a modular peptide containing versatile aggregating residues to agglomerate a variety of ligated AuNPs for colorimetric detection of the coronavirus main protease. Enzymatic cleavage liberates the peptide segment, which in turn triggers NP agglomeration and thus rapid color changes in <10 min. The protease detection limit is 2.5 nM.

Discovery of 3CLpro Inhibitor of SARS-CoV-2 Main Protease

Coronavirus main protease (3CLpro), a special cysteine protease in coronavirus family, is highly desirable in the life cycle of coronavirus. Here, molecular docking, ADMET pharmacokinetic profiles and molecular dynamics (MD) simulation were performed to develop specific 3CLpro inhibitor. The results showed that the 137 compounds originated from Chinese herbal have good binding affinity to 3CLpro. Among these, Cleomiscosin C, (+)-Norchelidonine, Protopine, Turkiyenine, Isochelidonine and Mallotucin A possessed prominent drug-likeness properties. Cleomiscosin C and Turkiyenine exhibited excellent pharmacokinetic profiles. Furthermore, the complex of Cleomiscosin C with SARS-CoV-2 main protease presented high stability. The findings in this work indicated that Cleomiscosin C is highly promising as a potential 3CLpro inhibitor, thus facilitating the development of effective drugs for COVID-19.

Novel Proline Derivatives for Treating COVID-19.

COVID-19 is a contagious disease. Paxlovid, a combination of Nirmatrelvir and Ritonavir, was granted emergency use authorization by the United States Food and Drug Administration (FDA) for the treatment of COVID-19 on December 22, 2021. These are peptidomimetic coronavirus main protease inhibitors. Nirmatrelvir is a proline derivative. The present patent describes similar proline- like compounds, their preparation, use, pharmaceutical composition, and treatment.

A Critical Study on Acylating and Covalent Reversible Fragment Inhibitors of SARS-CoV-2 Main Protease Targeting the S1 Site with Pyridine.

SARS coronavirus main proteases (3CL proteases) have been validated as pharmacological targets for the treatment of coronavirus infections. Current inhibitors of SARS main protease, including the clinically admitted drug nirmatrelvir are peptidomimetics with the downsides of this class of drugs including limited oral bioavailability, cellular permeability, and rapid metabolic degradation. Here, we investigate covalent fragment inhibitors of SARS Mpro as potential alternatives to peptidomimetic inhibitors in use today. Starting from inhibitors acylating the enzyme's active site, a set of reactive fragments was synthesized, and the inhibitory potency was correlated with the chemical stability of the inhibitors and the kinetic stability of the covalent enzyme-inhibitor complex. We found that all tested acylating carboxylates, several of them published prominently, were hydrolyzed in assay buffer and the inhibitory acyl-enzyme complexes were rapidly degraded leading to the irreversible inactivation of these drugs. Acylating carbonates were found to be more stable than acylating carboxylates, however, were inactive in infected cells. Finally, reversibly covalent fragments were investigated as chemically stable SARS CoV-2 inhibitors. Best was a pyridine-aldehyde fragment with an IC50 of 1.8 μM at a molecular weight of 211 g/mol, showing that pyridine fragments indeed are able to block the active site of SARS-CoV-2 main protease.

RETRACTED: Analysis of Conocurvone, Ganoderic acid A and Oleuropein molecules against the main protease molecule of COVID-19 by in silico approaches: Molecular dynamics docking studies

Traditional medicines against COVID-19 have taken important outbreaks evidenced by multiple cases, controlled clinical research, and randomized clinical trials. Furthermore, the design and chemical synthesis of protease inhibitors, one of the latest therapeutic approaches for virus infection, is to search for enzyme inhibitors in herbal compounds to achieve a minimal amount of side-effect medications. Hence, the present study aimed to screen some naturally derived biomolecules with anti-microbial properties (anti-HIV, antimalarial, and anti-SARS) against COVID-19 by targeting coronavirus main protease via molecular docking and simulations. Docking was performed using SwissDock and Autodock4, while molecular dynamics simulations were performed by the GROMACS-2019 version. The results showed that Oleuropein, Ganoderic acid A, and conocurvone exhibit inhibitory actions against the new COVID-19 proteases. These molecules may disrupt the infection process since they were demonstrated to bind at the coronavirus major protease's active site, affording them potential leads for further research against COVID-19.

Withanolides of Athenaea velutina with potential inhibitory properties against SARS coronavirus main protease (mpro): molecular modeling studies

Since the global COVID-19 pandemic began, the scientific community has dedicated efforts to finding effective antiviral drugs to treat or minimize the effects caused by the SARS-CoV-2 coronavirus. Some targets can act as inhibitor substrates, highlighting the Main Protease (Mpro), which plays an essential role in the translation and transcription of the virus cycle. Withanolides, a class of natural C28 steroidal lactones, are compounds of interest as possible inhibitors of Mpro and other critical targets of the virus, such as papain-like protease. In this study, the isolation of a new withanolide (1), along with the known 27-deoxywithaferin A (2) and 27-deoxy-2,3-dihydrowithaferin A (3), from the leaves of Athenaea velutina (Solanaceae) is described. Their structures were determined using spectroscopic and spectrometric methods (NMR, IR, HRESIMS). Moreover, the interaction and the stability of withanolides 1–3 and withanolide D (4), previously isolated of Acnistus arborescens, against the Mpro target through molecular docking, molecular dynamics, and binding free energy simulations were analyzed. The molecular dynamics results indicated that the complexes formed by the molecular docking simulations between the Mpro target with each of the withanolides 1–4 exhibited good stability during the simulations due to a slight change in the structure of complexes. The binding free energy results suggested that withanolide (1) can be a natural candidate against COVID-19 disease. Communicated by Ramaswamy H. Sarma

Computational Method on Hydroxychloroquine and Azithromycin for SARS-CoV-2: Binding Affinity Studies

World is facing a new pandemic called covid-19SARS-CoV-2) since a year ago. Unfortunately there is no treatment for Covid 19 nowadays as well as no potential therapies has been developed to overcome from coronavirus pandemic. Some potential drug molecules with combination have ability to respond for covid19 virus. From the research it was found that the reduction of viral load can be treated with hydroxychloroquine and azithromycin combination. We evaluate the mode of interactions of hydroxychloroquine and azithromycin with the dynamic site of SARS-CoV-2 coronavirus main protease. Molecular Structure-based computational approach viz. molecular docking simulations were performed to scale up their affinity and binding fitness of the docked complex of novel SARS-CoV-2 coronavirus protease and hydroxychloroquine and azithromycin. The natural inhibitor N3 of novel SARS-CoV-2 coronavirus protease were exhibited highest affinity in terms of MolDock score (-167.203Kcal/mol), and hydroxychloroquine was found with lowest target affinity (-55.917 Kcal/mol).The amino acid residue cysteine 145 and histidine 41 is bound covalently and formed hydrogen bond interaction with SARS-CoV-2 inhibitor known as inhibitor N3 as such, hydroxychloroquine and azithromycin also formed hydrogen bond interaction. The binding patterns of the inhibitor N3 of SARS-CoV-2 coronavirus main protease could be used as a guideline for medicinal chemist to explore their SARS-CoV-2 inhibitory potential.

Comprehensive in silico screening of flavonoids against SARS-CoV-2 main protease

In the current pandemic caused by the new coronavirus (SARS-CoV-2), computational drug discovery can play an essential role in finding potential therapeutic agents. Thanks to its anti-viral, antibacterial, and anti-inflammatory properties, sage (Salvia officinalis) is used in traditional medicine. In this study, drugs proposed against COVID-19, including Lopinavir, Remdesivir, Favipiravir, and main flavonoids of sage, were docked favorably against novel coronavirus main protease. Molecular docking findings indicate that Rutin, Luteolin-7-glucoside, Apigenin, and Hispidulin make strong interactions with better binding affinity than selected commercial drugs in the study. But Rutin is the only flavonoid that makes strong hydrogen bond interactions with catalytic dyad and crucial Mpro residues and has more binding affinity than protease inhibitor PF-07321332 as an oral antiviral (PAXLOVID™). Further analysis of Molecular Dynamics and MM-PBSA predicted that chosen ligands could form stable complexes with the main protease. Also, ADMET analysis shows that main flavonoids are expected to have appropriate pharmacokinetic and no toxic properties. The results of the in silico study suggest that Salvia officinalis as a rich source of potent anti-coronavirus flavonoids may play a significant role in counteracting the replication of SARS-CoV-2. Communicated by Ramaswamy H. Sarma

Ligand-based discovery of coronavirus main protease inhibitors using MACAW molecular embeddings

Ligand-based drug design methods are thought to require large experimental datasets to become useful for virtual screening. In this work, we propose a computational strategy to design novel inhibitors of coronavirus main protease, Mpro. The pipeline integrates publicly available screening and binding affinity data in a two-stage machine-learning model using the recent MACAW embeddings. Once trained, the model can be deployed to rapidly screen large libraries of molecules in silico. Several hundred thousand compounds were virtually screened and 10 of them were selected for experimental testing. From these 10 compounds, 8 showed a clear inhibitory effect on recombinant Mpro, with half-maximal inhibitory concentration values (IC50) in the range 0.18–18.82 μM. Cellular assays were also conducted to evaluate cytotoxic, haemolytic, and antiviral properties. A promising lead compound against coronavirus Mpro was identified with dose-dependent inhibition of virus infectivity and minimal toxicity on human MRC-5 cells.