Unravelling lead antiviral phytochemicals for the inhibition of SARS-CoV-2 Mpro enzyme through in silico approach.

A new SARS coronavirus (SARS-CoV-2) belonging to the genus Betacoronavirus has caused a pandemic known as COVID-19. Among coronaviruses, the main protease (Mpro) is an essential drug target which, along with papain-like proteases catalyzes the processing of polyproteins translated from viral RNA and recognizes specific cleavage sites. There are no human proteases with similar cleavage specificity and therefore, inhibitors are highly likely to be nontoxic. Therefore, targeting the SARS-CoV-2 Mpro enzyme with small molecules can block viral replication. The present study is aimed at the identification of promising lead molecules for SARS-CoV-2 Mpro enzyme through virtual screening of antiviral compounds from plants. The binding affinity of selected small drug-like molecules to SARS-CoV-2 Mpro, SARS-CoV Mpro and MERS-CoV Mpro were studied using molecular docking. Bonducellpin D was identified as the best lead molecule which shows higher binding affinity (-9.28 kcal/mol) as compared to the control (-8.24 kcal/mol). The molecular binding was stabilized through four hydrogen bonds with Glu166 and Thr190 as well as hydrophobic interactions via eight residues. The SARS-CoV-2 Mpro shows identities of 96.08% and 50.65% to that of SARS-CoV Mpro and MERS-CoV Mpro respectively at the sequence level. At the structural level, the root mean square deviation (RMSD) between SARS-CoV-2 Mpro and SARS-CoV Mpro was found to be 0.517 Å and 0.817 Å between SARS-CoV-2 Mpro and MERS-CoV Mpro. Bonducellpin D exhibited broad-spectrum inhibition potential against SARS-CoV Mpro and MERS-CoV Mpro and therefore is a promising drug candidate, which needs further validations through in vitro and in vivo studies.

Multi-Targeted Approaches and Drug Repurposing Reveal Possible SARS-CoV-2 Inhibitors.

The COVID-19 pandemic caused by SARS-CoV-2 is unprecedented in recent memory owing to the non-stop escalation in number of infections and deaths in almost every country of the world. The lack of treatment options further worsens the scenario, thereby necessitating the exploration of already existing US FDA-approved drugs for their effectiveness against COVID-19. In the present study, we have performed virtual screening of nutraceuticals available from DrugBank against 14 SARS-CoV-2 proteins. Molecular docking identified several inhibitors, two of which, rutin and NADH, displayed strong binding affinities and inhibitory potential against SARS-CoV-2 proteins. Further normal model-based simulations were performed to gain insights into the conformational transitions in proteins induced by the drugs. The computational analysis in the present study paves the way for experimental validation and development of multi-target guided inhibitors to fight COVID-19.

Artesunate induces substantial topological alterations in the SARS-CoV-2 Nsp1 protein structure.

The need for novel antiviral treatments for coronavirus disease 2019 (COVID-19) continues with the widespread infections and fatalities throughout the world. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of the deadly disease, relies on the non-structural protein Nsp1 for multiplication within the host cells and disarms the host immune defences by various mechanisms. Herein, we investigated the potential of artemisinin and its derivatives as possible inhibitors of SARS-CoV-2 Nsp1 through various computational approaches. Molecular docking results show that artemisinin (CID68827) binds to Nsp1 with a binding energy of -6.53 kcal/mol and an inhibition constant of 16.43 µM. The top 3 derivatives Artesunate (CID6917864), Artemiside (CID53323323) and Artemisone (CID11531457) show binding energies of -7.92 kcal/mol, -7.46 kcal/mol and -7.36 kcal/mol respectively. Hydrophobic interactions and hydrogen bonding with Val10, Arg11, and Gln50 helped to stabilize the protein-ligand complexes. The pharmacokinetic properties of these molecules show acceptable properties. The geometric parameters derived from large-scale MD simulation studies provided insights into the changes in the structural topology of Nsp1 upon binding of Artesunate. Thus, the findings of our research highlight the importance of artemisinin and its derivatives in the development of drugs to inhibit SARS-CoV-2 Nsp1 protein.

Molecular modelling studies unveil potential binding sites on human serum albumin for selected experimental and in silico COVID-19 drug candidate molecules.

Human serum albumin (HSA) is the most prevalent protein in the blood plasma which binds an array of exogenous compounds. Drug binding to HSA is an important consideration when developing new therapeutic molecules, and it also aids in understanding the underlying mechanisms that govern their pharmacological effects. This study aims to investigate the molecular binding of coronavirus disease 2019 (COVID-19) therapeutic candidate molecules to HSA and to identify their putative binding sites. Binding energies and interacting residues were used to evaluate the molecular interaction. Four drug candidate molecules (ß-D-N4-hydroxycytidine, Chloroquine, Disulfiram, and Carmofur) demonstrate weak binding to HSA, with binding energies ranging from -5 to -6.7 kcal/mol. Ivermectin, Hydroxychloroquine, Remdesivir, Arbidol, and other twenty drug molecules with binding energies ranging from -6.9 to -9.5 kcal/mol demonstrated moderate binding to HSA. The strong HSA binding drug candidates consist of fourteen molecules (Saquinavir, Ritonavir, Dihydroergotamine, Daclatasvir, Paritaprevir etc.) with binding energies ranging from -9.7 to -12.1 kcal/mol. All these molecules bind to different HSA subdomains (IA, IB, IIA, IIB, IIIA, and IIIB) through molecular forces such as hydrogen bonds and hydrophobic interactions. Various pharmacokinetic properties (gastrointestinal absorption, blood-brain barrier permeation, P-glycoprotein substrate, and cytochrome P450 inhibitor) of each molecule were determined using SwissADME program. Further, the stability of the HSA-ligand complexes was analyzed through 100 ns molecular dynamics simulations considering various geometric properties. The binding free energy between free HSA and compounds were calculated using Molecular mechanics Poisson-Boltzmann surface area (MM/PBSA) and molecular mechanics generalized Born surface area (MM/GBSA) approach. The findings of this study might be useful in understanding the mechanism of COVID-19 drug candidates binding to serum albumin protein, as well as their pharmacodynamics and pharmacokinetics.

An Updated Review of Computer-Aided Drug Design and Its Application to COVID-19.

The recent outbreak of the deadly coronavirus disease 19 (COVID-19) pandemic poses serious health concerns around the world. The lack of approved drugs or vaccines continues to be a challenge and further necessitates the discovery of new therapeutic molecules. Computer-aided drug design has helped to expedite the drug discovery and development process by minimizing the cost and time. In this review article, we highlight two important categories of computer-aided drug design (CADD), viz., the ligand-based as well as structured-based drug discovery. Various molecular modeling techniques involved in structure-based drug design are molecular docking and molecular dynamic simulation, whereas ligand-based drug design includes pharmacophore modeling, quantitative structure-activity relationship (QSARs), and artificial intelligence (AI). We have briefly discussed the significance of computer-aided drug design in the context of COVID-19 and how the researchers continue to rely on these computational techniques in the rapid identification of promising drug candidate molecules against various drug targets implicated in the pathogenesis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The structural elucidation of pharmacological drug targets and the discovery of preclinical drug candidate molecules have accelerated both structure-based as well as ligand-based drug design. This review article will help the clinicians and researchers to exploit the immense potential of computer-aided drug design in designing and identification of drug molecules and thereby helping in the management of fatal disease.

Identification of Novel Drug Candidates for the Inhibition of Catalytic Cleavage Activity of Coronavirus 3CL-like Protease Enzyme.

BACKGROUND: There has been tremendous pressure on healthcare facilities globally due to the recent emergence of novel coronavirus infection known as COVID-19 and its rapid spread across the continents. The lack of effective therapeutics for the management of the pandemic calls for the discovery of new drugs and vaccines. OBJECTIVE: In the present study, a chemical library was screened for molecules against three coronavirus 3CL-like protease enzymes (SARS-CoV-2 3CLpro, SARS-CoV 3CLpro and MERS-CoV 3CLpro), which are a key player in the viral replication cycle. METHODS: Extensive computational methods such as virtual screening and molecular docking were employed in this study. RESULTS: Two lead molecules, ZINC08825480 (4-bromo-N'-{(E)-[1-phenyl-3-(pyridin-3-yl)-1H-pyrazol- 4-yl]methylidene}benzene-1-sulfonohydrazide) and ZINC72009942 (N-[[2-[[(3S)-3-methyl-1-piperidyl] methyl]phenyl]methyl]-6-oxo-1-(p-tolyl)-4,5-dihydro-1,2,4-triazine-3-carboxamide), were identified with better affinity with the three target enzymes as compared to the approved antiviral drugs. Both the lead molecules possessed favorable drug-like properties, fit well into the active site pocket close to His- Cys dyad and showed a good number of hydrogen bonds with the backbone as well as side chains of key amino acid residues. CONCLUSION: Thus, the present study offers two novel chemical entities against coronavirus infections which can be validated through various biological assays.

Identification of potential SARS-CoV-2 entry inhibitors by targeting the interface region between the spike RBD and human ACE2.

Coronavirus disease 2019 (COVID-19) is a fatal infectious disease caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). The virus infection is initiated upon recognition and binding of the spike (S) protein receptor-binding domain (RBD) to the host cell surface receptor, angiotensin-converting enzyme 2 (ACE2). Blocking the interaction between S protein and ACE2 receptor is a novel approach to prevent the viral entry into the host cell. The present study is aimed at the identification of small molecules which can disrupt the interaction between SARS-CoV-2 S protein and human ACE2 receptor by binding to the interface region. A chemical library consisting of 1,36,191 molecules were screened for drug-like compounds based on Lipinski's rule of five, Verber's rule and in silico toxicity parameters. The filtered drug-like molecules were next subjected to molecular docking in the interface region of RBD. The best three hits viz; ZINC64023823, ZINC33039472 and ZINC00991597 were further taken for molecular dynamics (MD) simulation studies and binding free energy evaluations using Molecular mechanics-Poisson-Boltzmann surface area (MM-PBSA) and Molecular mechanics-Generalized Born surface area (MM-GBSA). The protein-ligand complexes showed stable trajectories throughout the simulation time. ZINC33039472 exhibited binding free energy value lower as compared to the control (emodin) with a higher contribution by gas-phase energy and van der Waals energy to the total binding free energy. Thus, ZINC33039472 is identified to be a promising interfacial binding molecule which can inhibit the interaction between the viral S protein and human ACE2 receptor which would consequently help in the management of the disease.

The potential of Paritaprevir and Emetine as inhibitors of SARS-CoV-2 RdRp.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA-dependent RNA polymerase (RdRp) is a well-characterized therapeutic target which is a key player driving the viral replication and transcription machinery. The recent elucidation of the experimental structure of SARS-CoV-2 RdRp enzyme complexed with triphosphate form of Remdesivir (RTP) has opened an avenue for structure-based identification of potent inhibitors. Given the high mortality rate of the coronavirus disease 2019 (COVID-19) and lack of effective therapeutics against it, an alternative for safe and speedy drug discovery needs to be sought after. One promising strategy could be to explore the possibility for repurposing the Food and Drug Administration (FDA) approved antiviral drugs and antiviral phytocompounds. In the present study, a set of FDA approved antiviral drugs and antiviral phytocompounds were screened for their ability to bind within the RdRp enzyme active pocket. The top 3 hits among the FDA approved drugs were Paritaprevir (D33), Rilpivirine (D19) and Simeprevir (D31) which scored binding energies between -8.08 kcal/mol and -10.46 kcal/mol. Emetine (P5), 7,4-di-O-galloyltricetifavan (P28) and Oleanolic acid (P17) were the top three phytocompounds hits and exhibited binding energies ranging from -7.81 kcal/mol to -8.17 kcal/mol. These drugs and phytocompounds were able to establish hydrogen bonds with the catalytic residues-Asp760 and Asp761 and hydrophobic interactions with neighbouring residues. Further, the physicochemical properties of the molecules were evaluated. These identified potential inhibitors warrant further experimental investigations before their acceptance as drug candidates for the treatment of the disease.