Computational drug repurposing study elucidating simultaneous inhibition of entry and replication of novel corona virus by Grazoprevir.

Outcomes of various clinical studies for the coronavirus disease 2019 (COVID-19) treatment indicated that the drug acts via inhibition of multiple pathways (targets) is likely to be more successful and promising. Keeping this hypothesis intact, the present study describes for the first-time, Grazoprevir, an FDA approved anti-viral drug primarily approved for Hepatitis C Virus (HCV), mediated multiple pathway control via synergistic inhibition of viral entry targeting host cell Angiotensin-Converting Enzyme 2 (ACE-2)/transmembrane serine protease 2 (TMPRSS2) and viral replication targeting RNA-dependent RNA polymerase (RdRP). Molecular modeling followed by in-depth structural analysis clearly demonstrated that Grazoprevir interacts with the key residues of these targets. Futher, Molecular Dynamics (MD) simulations showed stability and burial of key residues after the complex formation. Finally, Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) analysis identified the governing force of drug-receptor interactions and stability. Thus, we believe that Grazoprevir could be an effective therapeutics for the treatment of the COVID-19 pandemic with a promise of unlikely drug resistance owing to multiple inhibitions of eukaryotic and viral proteins, thus warrants further clinical studies.

Drug repurposing for identification of potential inhibitors against SARS-CoV-2 spike receptor-binding domain: An in silico approach.

BACKGROUND & OBJECTIVES: The world is currently under the threat of coronavirus disease 2019 (COVID-19) infection, caused by SARS-CoV-2. The objective of the present investigation was to repurpose the drugs with potential antiviral activity against receptor-binding domain (RBD) of SARS-CoV-2 spike (S) protein among 56 commercially available drugs. Therefore, an integrative computational approach, using molecular docking, quantum chemical calculation and molecular dynamics, was performed to unzip the effective drug-target interactions between RBD and 56 commercially available drugs. METHODS: The present in silico approach was based on information of drugs and experimentally derived crystal structure of RBD of SARS-CoV-2 S protein. Molecular docking analysis was performed for RBD against all 56 reported drugs using AutoDock 4.2 tool to screen the drugs with better potential antiviral activity which were further analysed by other computational tools for repurposing potential drug or drugs for COVID-19 therapeutics. RESULTS: Drugs such as chalcone, grazoprevir, enzaplatovir, dolutegravir, daclatasvir, tideglusib, presatovir, remdesivir and simeprevir were predicted to be potentially effective antiviral drugs against RBD and could have good COVID-19 therapeutic efficacy. Simeprevir displayed the highest binding affinity and reactivity against RBD with the values of -8.52 kcal/mol (binding energy) and 9.254 kcal/mol (band energy gap) among all the 56 drugs under investigation. INTERPRETATION & CONCLUSIONS: In the current investigation, simeprevir was identified as the potential antiviral drug based on the in silico findings in comparison to remdesivir, favipiravir and other 53 drugs. Further, laboratory and clinical investigations are needed to be carried out which will aid in the development of quick therapeutics designed for COVID-19.

Design and In-silico Screening of Peptide Nucleic Acid (PNA) Inspired Novel Pronucleotide Scaffolds Targeting COVID-19.

INTRODUCTION: The outburst of the novel coronavirus COVID-19, at the end of December 2019 has turned into a pandemic, risking many human lives. The causal agent being SARS-CoV-2, a member of the long-known Coronaviridae family, is a positive-sense single-stranded enveloped virus and closely related to SARS-CoV. It has become the need of the hour to understand the pathophysiology of this disease, so that drugs, vaccines, treatment regimens and plausible therapeutic agents can be produced. METHODS: In this regard, recent studies uncovered the fact that the viral genome of SARS-CoV-2 encodes non-structural proteins like RNA-dependent RNA polymerase (RdRp) which is an important tool for its transcription and replication process. A large number of nucleic acid-based anti-viral drugs are being repurposed for treating COVID-19 targeting RdRp. Few of them are at the advanced stage of clinical trials, including remdesivir. While performing a detailed investigation of the large set of nucleic acid-based drugs, we were surprised to find that the synthetic nucleic acid backbone has been explored very little or rare. RESULTS: We designed scaffolds derived from peptide nucleic acid (PNA) and subjected them to in- -silico screening systematically. These designed molecules have demonstrated excellent binding towards RdRp. Compound 12 was found to possess a similar binding affinity as remdesivir with comparable pharmacokinetics. However, the in-silico toxicity prediction indicates that compound 12 may be a superior molecule which can be explored further due to its excellent safety-profile with LD50 12,000mg/kg as opposed to remdesivir (LD50 =1000mg/kg). CONCLUSION: Compound 12 falls in the safe category of class 6. Synthetic feasibility, equipotent binding and very low toxicity of this peptide nucleic acid-derived compound can make it a leading scaffold to design, synthesize and evaluate many similar compounds for the treatment of COVID-19.