Cargando…
Molecular docking and dynamic simulation of approved drugs targeting against spike protein (6VXX) of 2019-nCoV (novel coronavirus)
The 2019-nCoV has triggered a global public health emergency due to its rapid spread, resulting in a pandemic situation. Because of its ability to bind with the host cell receptor ACE-2, the spike protein of the 2019-nCoV is a critical factor in viral infection. The current study aims to investigate...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Indian Chemical Society. Published by Elsevier B.V.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197568/ http://dx.doi.org/10.1016/j.jics.2022.100571 |
_version_ | 1784727444084752384 |
---|---|
author | Thakur, Abhinay Bansode, Dikshita Ghare, Pragati Sakpal, Shrutika |
author_facet | Thakur, Abhinay Bansode, Dikshita Ghare, Pragati Sakpal, Shrutika |
author_sort | Thakur, Abhinay |
collection | PubMed |
description | The 2019-nCoV has triggered a global public health emergency due to its rapid spread, resulting in a pandemic situation. Because of its ability to bind with the host cell receptor ACE-2, the spike protein of the 2019-nCoV is a critical factor in viral infection. The current study aims to investigate the molecular-docking of the spike protein (6VXX) using PyRx for FDA-approved drugs available for the treatment of SARS-1 and MERS, with the hypothesis that these drugs could be suggested for the treatment of 2019-nCoV or not. A phylogenetic analysis of 2019-nCoV in relation to SARS-1 and MERS confirmed the validation. The positive result urged the Multiple Sequence Alignment analysis of the top five affected countries, with China serving as a control, using WHO available reference data to determine the rate of mutant variation. The docking results revealed that the top ten drugs with the highest binding affinity rate are also used for Hepatitis-C virus treatment, and the Molecular Dynamic Simulation was carried out for the drug Paritaprevir, which had the highest binding affinity rate, using Gromacs. The results indicated that the drug Paritaprevir could be used as a potential target against the 2019-nCoV Spike protein. |
format | Online Article Text |
id | pubmed-9197568 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Indian Chemical Society. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91975682022-06-15 Molecular docking and dynamic simulation of approved drugs targeting against spike protein (6VXX) of 2019-nCoV (novel coronavirus) Thakur, Abhinay Bansode, Dikshita Ghare, Pragati Sakpal, Shrutika Journal of the Indian Chemical Society Article The 2019-nCoV has triggered a global public health emergency due to its rapid spread, resulting in a pandemic situation. Because of its ability to bind with the host cell receptor ACE-2, the spike protein of the 2019-nCoV is a critical factor in viral infection. The current study aims to investigate the molecular-docking of the spike protein (6VXX) using PyRx for FDA-approved drugs available for the treatment of SARS-1 and MERS, with the hypothesis that these drugs could be suggested for the treatment of 2019-nCoV or not. A phylogenetic analysis of 2019-nCoV in relation to SARS-1 and MERS confirmed the validation. The positive result urged the Multiple Sequence Alignment analysis of the top five affected countries, with China serving as a control, using WHO available reference data to determine the rate of mutant variation. The docking results revealed that the top ten drugs with the highest binding affinity rate are also used for Hepatitis-C virus treatment, and the Molecular Dynamic Simulation was carried out for the drug Paritaprevir, which had the highest binding affinity rate, using Gromacs. The results indicated that the drug Paritaprevir could be used as a potential target against the 2019-nCoV Spike protein. Indian Chemical Society. Published by Elsevier B.V. 2022-08 2022-06-15 /pmc/articles/PMC9197568/ http://dx.doi.org/10.1016/j.jics.2022.100571 Text en © 2022 Indian Chemical Society. Published by 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 Thakur, Abhinay Bansode, Dikshita Ghare, Pragati Sakpal, Shrutika Molecular docking and dynamic simulation of approved drugs targeting against spike protein (6VXX) of 2019-nCoV (novel coronavirus) |
title | Molecular docking and dynamic simulation of approved drugs targeting against spike protein (6VXX) of 2019-nCoV (novel coronavirus) |
title_full | Molecular docking and dynamic simulation of approved drugs targeting against spike protein (6VXX) of 2019-nCoV (novel coronavirus) |
title_fullStr | Molecular docking and dynamic simulation of approved drugs targeting against spike protein (6VXX) of 2019-nCoV (novel coronavirus) |
title_full_unstemmed | Molecular docking and dynamic simulation of approved drugs targeting against spike protein (6VXX) of 2019-nCoV (novel coronavirus) |
title_short | Molecular docking and dynamic simulation of approved drugs targeting against spike protein (6VXX) of 2019-nCoV (novel coronavirus) |
title_sort | molecular docking and dynamic simulation of approved drugs targeting against spike protein (6vxx) of 2019-ncov (novel coronavirus) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197568/ http://dx.doi.org/10.1016/j.jics.2022.100571 |
work_keys_str_mv | AT thakurabhinay moleculardockinganddynamicsimulationofapproveddrugstargetingagainstspikeprotein6vxxof2019ncovnovelcoronavirus AT bansodedikshita moleculardockinganddynamicsimulationofapproveddrugstargetingagainstspikeprotein6vxxof2019ncovnovelcoronavirus AT gharepragati moleculardockinganddynamicsimulationofapproveddrugstargetingagainstspikeprotein6vxxof2019ncovnovelcoronavirus AT sakpalshrutika moleculardockinganddynamicsimulationofapproveddrugstargetingagainstspikeprotein6vxxof2019ncovnovelcoronavirus |