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In silico ADMET and molecular docking study on searching potential inhibitors from limonoids and triterpenoids for COVID-19
Virtual screening of phytochemicals was performed through molecular docking, simulations, in silico ADMET and drug-likeness prediction to identify the potential hits that can inhibit the effects of SARS-CoV-2. Considering the published literature on medicinal importance, 154 phytochemicals with anal...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386496/ https://www.ncbi.nlm.nih.gov/pubmed/32738628 http://dx.doi.org/10.1016/j.compbiomed.2020.103936 |
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author | Vardhan, Seshu Sahoo, Suban K. |
author_facet | Vardhan, Seshu Sahoo, Suban K. |
author_sort | Vardhan, Seshu |
collection | PubMed |
description | Virtual screening of phytochemicals was performed through molecular docking, simulations, in silico ADMET and drug-likeness prediction to identify the potential hits that can inhibit the effects of SARS-CoV-2. Considering the published literature on medicinal importance, 154 phytochemicals with analogous structure from limonoids and triterpenoids were selected to search potential inhibitors for the five therapeutic protein targets of SARS-CoV-2, i.e., 3CLpro (main protease), PLpro (papain-like protease), SGp-RBD (spike glycoprotein-receptor binding domain), RdRp (RNA dependent RNA polymerase) and ACE2 (angiotensin-converting enzyme 2). The in silico computational results revealed that the phytochemicals such as glycyrrhizic acid, limonin, 7-deacetyl-7-benzoylgedunin, maslinic acid, corosolic acid, obacunone and ursolic acid were found to be effective against the target proteins of SARS-CoV-2. The protein-ligand interaction study revealed that these phytochemicals bind with the amino acid residues at the active site of the target proteins. Therefore, the core structure of these potential hits can be used for further lead optimization to design drugs for SARS-CoV-2. Also, the medicinal plants containing these phytochemicals like licorice, neem, tulsi, citrus and olives can be used to formulate suitable therapeutic approaches in traditional medicines. |
format | Online Article Text |
id | pubmed-7386496 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73864962020-07-29 In silico ADMET and molecular docking study on searching potential inhibitors from limonoids and triterpenoids for COVID-19 Vardhan, Seshu Sahoo, Suban K. Comput Biol Med Article Virtual screening of phytochemicals was performed through molecular docking, simulations, in silico ADMET and drug-likeness prediction to identify the potential hits that can inhibit the effects of SARS-CoV-2. Considering the published literature on medicinal importance, 154 phytochemicals with analogous structure from limonoids and triterpenoids were selected to search potential inhibitors for the five therapeutic protein targets of SARS-CoV-2, i.e., 3CLpro (main protease), PLpro (papain-like protease), SGp-RBD (spike glycoprotein-receptor binding domain), RdRp (RNA dependent RNA polymerase) and ACE2 (angiotensin-converting enzyme 2). The in silico computational results revealed that the phytochemicals such as glycyrrhizic acid, limonin, 7-deacetyl-7-benzoylgedunin, maslinic acid, corosolic acid, obacunone and ursolic acid were found to be effective against the target proteins of SARS-CoV-2. The protein-ligand interaction study revealed that these phytochemicals bind with the amino acid residues at the active site of the target proteins. Therefore, the core structure of these potential hits can be used for further lead optimization to design drugs for SARS-CoV-2. Also, the medicinal plants containing these phytochemicals like licorice, neem, tulsi, citrus and olives can be used to formulate suitable therapeutic approaches in traditional medicines. Elsevier Ltd. 2020-09 2020-07-28 /pmc/articles/PMC7386496/ /pubmed/32738628 http://dx.doi.org/10.1016/j.compbiomed.2020.103936 Text en © 2020 Elsevier Ltd. 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 Vardhan, Seshu Sahoo, Suban K. In silico ADMET and molecular docking study on searching potential inhibitors from limonoids and triterpenoids for COVID-19 |
title | In silico ADMET and molecular docking study on searching potential inhibitors from limonoids and triterpenoids for COVID-19 |
title_full | In silico ADMET and molecular docking study on searching potential inhibitors from limonoids and triterpenoids for COVID-19 |
title_fullStr | In silico ADMET and molecular docking study on searching potential inhibitors from limonoids and triterpenoids for COVID-19 |
title_full_unstemmed | In silico ADMET and molecular docking study on searching potential inhibitors from limonoids and triterpenoids for COVID-19 |
title_short | In silico ADMET and molecular docking study on searching potential inhibitors from limonoids and triterpenoids for COVID-19 |
title_sort | in silico admet and molecular docking study on searching potential inhibitors from limonoids and triterpenoids for covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386496/ https://www.ncbi.nlm.nih.gov/pubmed/32738628 http://dx.doi.org/10.1016/j.compbiomed.2020.103936 |
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