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“Identification of Nafamostat and VR23 as COVID-19 drug candidates by targeting 3CL(pro) and PL(pro)"

The sudden increase in the COVID-19 epidemic affected by novel coronavirus 2019 has jeopardized public health worldwide. Hence the necessities of a drug or therapeutic agent that heal SARS-CoV-2 infections are essential requirements. The viral genome encodes a large Polyprotein, further processed by...

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Autores principales: Bhowmik, Deep, Sharma, Ravi Datta, Prakash, Amresh, Kumar, Diwakar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884051/
https://www.ncbi.nlm.nih.gov/pubmed/33612858
http://dx.doi.org/10.1016/j.molstruc.2021.130094
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author Bhowmik, Deep
Sharma, Ravi Datta
Prakash, Amresh
Kumar, Diwakar
author_facet Bhowmik, Deep
Sharma, Ravi Datta
Prakash, Amresh
Kumar, Diwakar
author_sort Bhowmik, Deep
collection PubMed
description The sudden increase in the COVID-19 epidemic affected by novel coronavirus 2019 has jeopardized public health worldwide. Hence the necessities of a drug or therapeutic agent that heal SARS-CoV-2 infections are essential requirements. The viral genome encodes a large Polyprotein, further processed by the main protease/ 3C-like protease (3CL(pro)) and papain-like proteases (PL(pro)) into 16 nonstructural proteins to form a viral replication complex. These essential functions of 3CL(pro) and PL(pro) in virus duplication make these proteases a promising target for discovering potential therapeutic candidates and possible treatment for SARS-CoV-2 infection. This study aimed to screen a unique set of protease inhibitors library against 3CL(pro) and PL(pro) of the SARS-CoV-2. A molecular docking study was performed using PyRx to reveal the binding affinity of the selected ligands and molecular dynamic simulations were executed to assess the three-dimensional stability of protein-ligand complexes. The pharmacodynamics parameters of the inhibitors were predicted using admetSAR. The top two ligands (Nafamostat and VR23) based on docking scores were selected for further studies. Selected ligands showed excellent pharmacokinetic properties with proper absorption, bioavailability and minimal toxicity. Due to the emerging and efficiency of remdesivir and dexamethasone in healing COVID-19 patients, ADMET properties of the selected ligands were thus compared with it. MD Simulation studies up to 100 ns revealed the ligands' stability at the target proteins' binding site residues. Therefore, Nafamostat and VR23 may provide potential treatment options against SARS-CoV-2 infections by potentially inhibiting virus duplication though more research is warranted.
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spelling pubmed-78840512021-02-16 “Identification of Nafamostat and VR23 as COVID-19 drug candidates by targeting 3CL(pro) and PL(pro)" Bhowmik, Deep Sharma, Ravi Datta Prakash, Amresh Kumar, Diwakar J Mol Struct Article The sudden increase in the COVID-19 epidemic affected by novel coronavirus 2019 has jeopardized public health worldwide. Hence the necessities of a drug or therapeutic agent that heal SARS-CoV-2 infections are essential requirements. The viral genome encodes a large Polyprotein, further processed by the main protease/ 3C-like protease (3CL(pro)) and papain-like proteases (PL(pro)) into 16 nonstructural proteins to form a viral replication complex. These essential functions of 3CL(pro) and PL(pro) in virus duplication make these proteases a promising target for discovering potential therapeutic candidates and possible treatment for SARS-CoV-2 infection. This study aimed to screen a unique set of protease inhibitors library against 3CL(pro) and PL(pro) of the SARS-CoV-2. A molecular docking study was performed using PyRx to reveal the binding affinity of the selected ligands and molecular dynamic simulations were executed to assess the three-dimensional stability of protein-ligand complexes. The pharmacodynamics parameters of the inhibitors were predicted using admetSAR. The top two ligands (Nafamostat and VR23) based on docking scores were selected for further studies. Selected ligands showed excellent pharmacokinetic properties with proper absorption, bioavailability and minimal toxicity. Due to the emerging and efficiency of remdesivir and dexamethasone in healing COVID-19 patients, ADMET properties of the selected ligands were thus compared with it. MD Simulation studies up to 100 ns revealed the ligands' stability at the target proteins' binding site residues. Therefore, Nafamostat and VR23 may provide potential treatment options against SARS-CoV-2 infections by potentially inhibiting virus duplication though more research is warranted. Elsevier B.V. 2021-06-05 2021-02-15 /pmc/articles/PMC7884051/ /pubmed/33612858 http://dx.doi.org/10.1016/j.molstruc.2021.130094 Text en © 2021 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Bhowmik, Deep
Sharma, Ravi Datta
Prakash, Amresh
Kumar, Diwakar
“Identification of Nafamostat and VR23 as COVID-19 drug candidates by targeting 3CL(pro) and PL(pro)"
title “Identification of Nafamostat and VR23 as COVID-19 drug candidates by targeting 3CL(pro) and PL(pro)"
title_full “Identification of Nafamostat and VR23 as COVID-19 drug candidates by targeting 3CL(pro) and PL(pro)"
title_fullStr “Identification of Nafamostat and VR23 as COVID-19 drug candidates by targeting 3CL(pro) and PL(pro)"
title_full_unstemmed “Identification of Nafamostat and VR23 as COVID-19 drug candidates by targeting 3CL(pro) and PL(pro)"
title_short “Identification of Nafamostat and VR23 as COVID-19 drug candidates by targeting 3CL(pro) and PL(pro)"
title_sort “identification of nafamostat and vr23 as covid-19 drug candidates by targeting 3cl(pro) and pl(pro)"
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884051/
https://www.ncbi.nlm.nih.gov/pubmed/33612858
http://dx.doi.org/10.1016/j.molstruc.2021.130094
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