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Structure-activity relationship (SAR) and molecular dynamics study of withaferin-A fragment derivatives as potential therapeutic lead against main protease (M(pro)) of SARS-CoV-2
The spread of novel coronavirus SARS-CoV-2 has directed to a state of an unprecedented global pandemic. Many synthetic compounds and FDA-approved drugs have been significantly inhibitory against the virus, but no SARS-CoV-2 solution has been identified. However, small molecule fragment–based derivat...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914120/ https://www.ncbi.nlm.nih.gov/pubmed/33641023 http://dx.doi.org/10.1007/s00894-021-04703-6 |
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author | Ghosh, Arabinda Chakraborty, Monoswi Chandra, Anshuman Alam, Mohamad Parvez |
author_facet | Ghosh, Arabinda Chakraborty, Monoswi Chandra, Anshuman Alam, Mohamad Parvez |
author_sort | Ghosh, Arabinda |
collection | PubMed |
description | The spread of novel coronavirus SARS-CoV-2 has directed to a state of an unprecedented global pandemic. Many synthetic compounds and FDA-approved drugs have been significantly inhibitory against the virus, but no SARS-CoV-2 solution has been identified. However, small molecule fragment–based derivatives of potent phytocompounds may serve as promising inhibitors against SARS-CoV-2. In the pursuit of exploring novel SARS-CoV-2 inhibitors, we generated small molecule fragment derivatives from potent phytocompounds using neural networking and machine learning–based tools, which can cover unexplored regions of the chemical space that still retain lead-like properties. Out of 300 derivative molecules from withaferin-A, hesperidin, and baicalin, 30 were screened out with synthetic accessibility scores > 4 having the best ADME properties. The withaferin-A derivative molecules 61 and 64 exhibited a significant binding affinity of − 7.84 kcal/mol and − 7.94 kcal/mol. The docking study reveals that withaferin-A mol 61 forms 5 polar H-bonds with the M(pro) where amino acids involved are GLU166, THR190, CYS145, MET165, and GLN152 and upon QSAR analysis showed a minimal predicted IC50 value of 7762.47 nM. Furthermore, the in silico cytotoxicity predictions, pharmacophore modeling, and molecular dynamics simulation studies have resulted in predicting the highly potent small molecule derivative from withaferin-A (phytocompound from Withania somnifera) to be the potential inhibitor of SARS-CoV 2 protease (M(pro)) and a promising future lead candidate against COVID-19. The rationale of choosing withaferin-A from Withania somnifera (Ashwagandha) was propelled by the innumerous applications of Ashwagandha for the treatment of various antiviral diseases, common cold, and fever since time immemorial. [Figure: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00894-021-04703-6. |
format | Online Article Text |
id | pubmed-7914120 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-79141202021-03-01 Structure-activity relationship (SAR) and molecular dynamics study of withaferin-A fragment derivatives as potential therapeutic lead against main protease (M(pro)) of SARS-CoV-2 Ghosh, Arabinda Chakraborty, Monoswi Chandra, Anshuman Alam, Mohamad Parvez J Mol Model Original Paper The spread of novel coronavirus SARS-CoV-2 has directed to a state of an unprecedented global pandemic. Many synthetic compounds and FDA-approved drugs have been significantly inhibitory against the virus, but no SARS-CoV-2 solution has been identified. However, small molecule fragment–based derivatives of potent phytocompounds may serve as promising inhibitors against SARS-CoV-2. In the pursuit of exploring novel SARS-CoV-2 inhibitors, we generated small molecule fragment derivatives from potent phytocompounds using neural networking and machine learning–based tools, which can cover unexplored regions of the chemical space that still retain lead-like properties. Out of 300 derivative molecules from withaferin-A, hesperidin, and baicalin, 30 were screened out with synthetic accessibility scores > 4 having the best ADME properties. The withaferin-A derivative molecules 61 and 64 exhibited a significant binding affinity of − 7.84 kcal/mol and − 7.94 kcal/mol. The docking study reveals that withaferin-A mol 61 forms 5 polar H-bonds with the M(pro) where amino acids involved are GLU166, THR190, CYS145, MET165, and GLN152 and upon QSAR analysis showed a minimal predicted IC50 value of 7762.47 nM. Furthermore, the in silico cytotoxicity predictions, pharmacophore modeling, and molecular dynamics simulation studies have resulted in predicting the highly potent small molecule derivative from withaferin-A (phytocompound from Withania somnifera) to be the potential inhibitor of SARS-CoV 2 protease (M(pro)) and a promising future lead candidate against COVID-19. The rationale of choosing withaferin-A from Withania somnifera (Ashwagandha) was propelled by the innumerous applications of Ashwagandha for the treatment of various antiviral diseases, common cold, and fever since time immemorial. [Figure: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00894-021-04703-6. Springer Berlin Heidelberg 2021-02-28 2021 /pmc/articles/PMC7914120/ /pubmed/33641023 http://dx.doi.org/10.1007/s00894-021-04703-6 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Ghosh, Arabinda Chakraborty, Monoswi Chandra, Anshuman Alam, Mohamad Parvez Structure-activity relationship (SAR) and molecular dynamics study of withaferin-A fragment derivatives as potential therapeutic lead against main protease (M(pro)) of SARS-CoV-2 |
title | Structure-activity relationship (SAR) and molecular dynamics study of withaferin-A fragment derivatives as potential therapeutic lead against main protease (M(pro)) of SARS-CoV-2 |
title_full | Structure-activity relationship (SAR) and molecular dynamics study of withaferin-A fragment derivatives as potential therapeutic lead against main protease (M(pro)) of SARS-CoV-2 |
title_fullStr | Structure-activity relationship (SAR) and molecular dynamics study of withaferin-A fragment derivatives as potential therapeutic lead against main protease (M(pro)) of SARS-CoV-2 |
title_full_unstemmed | Structure-activity relationship (SAR) and molecular dynamics study of withaferin-A fragment derivatives as potential therapeutic lead against main protease (M(pro)) of SARS-CoV-2 |
title_short | Structure-activity relationship (SAR) and molecular dynamics study of withaferin-A fragment derivatives as potential therapeutic lead against main protease (M(pro)) of SARS-CoV-2 |
title_sort | structure-activity relationship (sar) and molecular dynamics study of withaferin-a fragment derivatives as potential therapeutic lead against main protease (m(pro)) of sars-cov-2 |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914120/ https://www.ncbi.nlm.nih.gov/pubmed/33641023 http://dx.doi.org/10.1007/s00894-021-04703-6 |
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