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An in-silico pharmacophore-based molecular docking study to evaluate the inhibitory potentials of novel fungal triterpenoid Astrakurkurone analogues against a hypothetical mutated main protease of SARS-CoV-2 virus

BACKGROUND: The main protease is an important structural protein of SARS-CoV-2, essential for its survivability inside a human host. Considering current vaccines' limitations and the absence of approved therapeutic targets, M(pro) may be regarded as the potential candidate drug target. Novel fu...

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Autores principales: Nag, Anish, Dasgupta, Adhiraj, Sengupta, Sutirtha, Lai, Tapan Kumar, Acharya, Krishnendu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767885/
https://www.ncbi.nlm.nih.gov/pubmed/36565483
http://dx.doi.org/10.1016/j.compbiomed.2022.106433
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author Nag, Anish
Dasgupta, Adhiraj
Sengupta, Sutirtha
Lai, Tapan Kumar
Acharya, Krishnendu
author_facet Nag, Anish
Dasgupta, Adhiraj
Sengupta, Sutirtha
Lai, Tapan Kumar
Acharya, Krishnendu
author_sort Nag, Anish
collection PubMed
description BACKGROUND: The main protease is an important structural protein of SARS-CoV-2, essential for its survivability inside a human host. Considering current vaccines' limitations and the absence of approved therapeutic targets, M(pro) may be regarded as the potential candidate drug target. Novel fungal phytocompound Astrakurkurone may be studied as the potential M(pro) inhibitor, considering its medicinal properties reported elsewhere. METHODS: In silico molecular docking was performed with Astrakurkurone and its twenty pharmacophore-based analogues against the native M(pro) protein. A hypothetical M(pro) was also constructed with seven mutations and targeted by Astrakurkurone and its analogues. Furthermore, multiple parameters such as statistical analysis (Principal Component Analysis), pharmacophore alignment, and drug likeness evaluation were performed to understand the mechanism of protein-ligand molecular interaction. Finally, molecular dynamic simulation was done for the top-ranking ligands to validate the result. RESULT: We identified twenty Astrakurkurone analogues through pharmacophore screening methodology. Among these twenty compounds, two analogues namely, ZINC89341287 and ZINC12128321 showed the highest inhibitory potentials against native and our hypothetical mutant M(pro), respectively (−7.7 and −7.3 kcal mol(−1)) when compared with the control drug Telaprevir (−5.9 and −6.0 kcal mol(−1)). Finally, we observed that functional groups of ligands namely two aromatic and one acceptor groups were responsible for the residual interaction with the target proteins. The molecular dynamic simulation further revealed that these compounds could make a stable complex with their respective protein targets in the near-native physiological condition. CONCLUSION: To conclude, Astrakurkurone analogues ZINC89341287 and ZINC12128321 can be potential therapeutic agents against the highly infectious SARS-CoV-2 virus.
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spelling pubmed-97678852022-12-21 An in-silico pharmacophore-based molecular docking study to evaluate the inhibitory potentials of novel fungal triterpenoid Astrakurkurone analogues against a hypothetical mutated main protease of SARS-CoV-2 virus Nag, Anish Dasgupta, Adhiraj Sengupta, Sutirtha Lai, Tapan Kumar Acharya, Krishnendu Comput Biol Med Article BACKGROUND: The main protease is an important structural protein of SARS-CoV-2, essential for its survivability inside a human host. Considering current vaccines' limitations and the absence of approved therapeutic targets, M(pro) may be regarded as the potential candidate drug target. Novel fungal phytocompound Astrakurkurone may be studied as the potential M(pro) inhibitor, considering its medicinal properties reported elsewhere. METHODS: In silico molecular docking was performed with Astrakurkurone and its twenty pharmacophore-based analogues against the native M(pro) protein. A hypothetical M(pro) was also constructed with seven mutations and targeted by Astrakurkurone and its analogues. Furthermore, multiple parameters such as statistical analysis (Principal Component Analysis), pharmacophore alignment, and drug likeness evaluation were performed to understand the mechanism of protein-ligand molecular interaction. Finally, molecular dynamic simulation was done for the top-ranking ligands to validate the result. RESULT: We identified twenty Astrakurkurone analogues through pharmacophore screening methodology. Among these twenty compounds, two analogues namely, ZINC89341287 and ZINC12128321 showed the highest inhibitory potentials against native and our hypothetical mutant M(pro), respectively (−7.7 and −7.3 kcal mol(−1)) when compared with the control drug Telaprevir (−5.9 and −6.0 kcal mol(−1)). Finally, we observed that functional groups of ligands namely two aromatic and one acceptor groups were responsible for the residual interaction with the target proteins. The molecular dynamic simulation further revealed that these compounds could make a stable complex with their respective protein targets in the near-native physiological condition. CONCLUSION: To conclude, Astrakurkurone analogues ZINC89341287 and ZINC12128321 can be potential therapeutic agents against the highly infectious SARS-CoV-2 virus. Elsevier Ltd. 2023-01 2022-12-21 /pmc/articles/PMC9767885/ /pubmed/36565483 http://dx.doi.org/10.1016/j.compbiomed.2022.106433 Text en © 2022 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
Nag, Anish
Dasgupta, Adhiraj
Sengupta, Sutirtha
Lai, Tapan Kumar
Acharya, Krishnendu
An in-silico pharmacophore-based molecular docking study to evaluate the inhibitory potentials of novel fungal triterpenoid Astrakurkurone analogues against a hypothetical mutated main protease of SARS-CoV-2 virus
title An in-silico pharmacophore-based molecular docking study to evaluate the inhibitory potentials of novel fungal triterpenoid Astrakurkurone analogues against a hypothetical mutated main protease of SARS-CoV-2 virus
title_full An in-silico pharmacophore-based molecular docking study to evaluate the inhibitory potentials of novel fungal triterpenoid Astrakurkurone analogues against a hypothetical mutated main protease of SARS-CoV-2 virus
title_fullStr An in-silico pharmacophore-based molecular docking study to evaluate the inhibitory potentials of novel fungal triterpenoid Astrakurkurone analogues against a hypothetical mutated main protease of SARS-CoV-2 virus
title_full_unstemmed An in-silico pharmacophore-based molecular docking study to evaluate the inhibitory potentials of novel fungal triterpenoid Astrakurkurone analogues against a hypothetical mutated main protease of SARS-CoV-2 virus
title_short An in-silico pharmacophore-based molecular docking study to evaluate the inhibitory potentials of novel fungal triterpenoid Astrakurkurone analogues against a hypothetical mutated main protease of SARS-CoV-2 virus
title_sort in-silico pharmacophore-based molecular docking study to evaluate the inhibitory potentials of novel fungal triterpenoid astrakurkurone analogues against a hypothetical mutated main protease of sars-cov-2 virus
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767885/
https://www.ncbi.nlm.nih.gov/pubmed/36565483
http://dx.doi.org/10.1016/j.compbiomed.2022.106433
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