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Molecules against Covid-19: An in silico approach for drug development
A large number of deaths have been caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) worldwide, turning it into a serious and momentous threat to public health. This study tends to contribute to the development of effective treatment strategies through a computational approa...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
University of Electronic Science and Technology of China. Publishing Services provided by Elsevier B.V. on behalf of KeAi.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7946544/ http://dx.doi.org/10.1016/j.jnlest.2021.100095 |
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author | Bharti, Rhythm Shukla, Sandeep Kumar |
author_facet | Bharti, Rhythm Shukla, Sandeep Kumar |
author_sort | Bharti, Rhythm |
collection | PubMed |
description | A large number of deaths have been caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) worldwide, turning it into a serious and momentous threat to public health. This study tends to contribute to the development of effective treatment strategies through a computational approach, investigating the mechanisms in relation to the binding and subsequent inhibition of SARS-CoV-2 ribonucleic acid (RNA)-dependent RNA polymerase (RdRp). Molecular docking was performed to screen six naturally occurring molecules with antineoplastic properties (Ellipticine, Ecteinascidin, Homoharringtonine, Dolastatin 10, Halichondrin, and Plicamycin). Absorption, distribution, metabolism, and excretion (ADME) investigation was also conducted to analyze the drug-like properties of these compounds. The docked results have clearly shown binding of ligands to the SARS-CoV-2 RdRp protein. Interestingly, all ligands were found to obey Lipinski’s rule of five. These results provide a basis for repurposing and using molecules, derived from plants and animals, as a potential treatment for the coronavirus disease 2019 (COVID-19) infection as they could be effective therapeutics for the same. |
format | Online Article Text |
id | pubmed-7946544 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | University of Electronic Science and Technology of China. Publishing Services provided by Elsevier B.V. on behalf of KeAi. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79465442021-03-11 Molecules against Covid-19: An in silico approach for drug development Bharti, Rhythm Shukla, Sandeep Kumar Journal of Electronic Science and Technology Article A large number of deaths have been caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) worldwide, turning it into a serious and momentous threat to public health. This study tends to contribute to the development of effective treatment strategies through a computational approach, investigating the mechanisms in relation to the binding and subsequent inhibition of SARS-CoV-2 ribonucleic acid (RNA)-dependent RNA polymerase (RdRp). Molecular docking was performed to screen six naturally occurring molecules with antineoplastic properties (Ellipticine, Ecteinascidin, Homoharringtonine, Dolastatin 10, Halichondrin, and Plicamycin). Absorption, distribution, metabolism, and excretion (ADME) investigation was also conducted to analyze the drug-like properties of these compounds. The docked results have clearly shown binding of ligands to the SARS-CoV-2 RdRp protein. Interestingly, all ligands were found to obey Lipinski’s rule of five. These results provide a basis for repurposing and using molecules, derived from plants and animals, as a potential treatment for the coronavirus disease 2019 (COVID-19) infection as they could be effective therapeutics for the same. University of Electronic Science and Technology of China. Publishing Services provided by Elsevier B.V. on behalf of KeAi. 2021-03 2021-03-11 /pmc/articles/PMC7946544/ http://dx.doi.org/10.1016/j.jnlest.2021.100095 Text en © 2021 University of Electronic Science and Technology of China. Publishing Services provided by Elsevier B.V. on behalf of KeAi. 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 Bharti, Rhythm Shukla, Sandeep Kumar Molecules against Covid-19: An in silico approach for drug development |
title | Molecules against Covid-19: An in silico approach for drug development |
title_full | Molecules against Covid-19: An in silico approach for drug development |
title_fullStr | Molecules against Covid-19: An in silico approach for drug development |
title_full_unstemmed | Molecules against Covid-19: An in silico approach for drug development |
title_short | Molecules against Covid-19: An in silico approach for drug development |
title_sort | molecules against covid-19: an in silico approach for drug development |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7946544/ http://dx.doi.org/10.1016/j.jnlest.2021.100095 |
work_keys_str_mv | AT bhartirhythm moleculesagainstcovid19aninsilicoapproachfordrugdevelopment AT shuklasandeepkumar moleculesagainstcovid19aninsilicoapproachfordrugdevelopment |