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Computational screening of FDA approved drugs of fungal origin that may interfere with SARS-CoV-2 spike protein activation, viral RNA replication, and post‐translational modification: a multiple target approach

Coronavirus spread is an emergency reported globally, and a specific treatment strategy for this significant health issue is not yet identified. COVID-19 is a highly contagious disease and needs to be controlled promptly as millions of deaths have been reported. Due to the absence of proficient rest...

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Autores principales: Singh, Rajveer, Gautam, Anupam, Chandel, Shivani, Sharma, Vipul, Ghosh, Arijit, Dey, Dhritiman, Roy, Syamal, Ravichandiran, V., Ghosh, Dipanjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8019482/
https://www.ncbi.nlm.nih.gov/pubmed/33842191
http://dx.doi.org/10.1007/s40203-021-00089-8
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author Singh, Rajveer
Gautam, Anupam
Chandel, Shivani
Sharma, Vipul
Ghosh, Arijit
Dey, Dhritiman
Roy, Syamal
Ravichandiran, V.
Ghosh, Dipanjan
author_facet Singh, Rajveer
Gautam, Anupam
Chandel, Shivani
Sharma, Vipul
Ghosh, Arijit
Dey, Dhritiman
Roy, Syamal
Ravichandiran, V.
Ghosh, Dipanjan
author_sort Singh, Rajveer
collection PubMed
description Coronavirus spread is an emergency reported globally, and a specific treatment strategy for this significant health issue is not yet identified. COVID-19 is a highly contagious disease and needs to be controlled promptly as millions of deaths have been reported. Due to the absence of proficient restorative alternatives and preliminary clinical restrictions, FDA-approved medications can be a decent alternative to deal with the coronavirus malady (COVID-19). The present study aims to meet the imperative necessity of effective COVID-19 drug treatment with a computational multi-target drug repurposing approach. This study focused on screening the FDA-approved drugs derived from the fungal source and its derivatives against the SARS-CoV-2 targets. All the selected drugs showed good binding affinity towards these targets, and out of them, bromocriptine was found to be the best candidate after the screening on the COVID-19 targets. Further, bromocriptine is analyzed by molecular simulation and MM-PBSA study. These studies suggested that bromocriptine can be the best candidate for TMPRSS2, Main protease, and RdRp protein. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40203-021-00089-8.
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spelling pubmed-80194822021-04-06 Computational screening of FDA approved drugs of fungal origin that may interfere with SARS-CoV-2 spike protein activation, viral RNA replication, and post‐translational modification: a multiple target approach Singh, Rajveer Gautam, Anupam Chandel, Shivani Sharma, Vipul Ghosh, Arijit Dey, Dhritiman Roy, Syamal Ravichandiran, V. Ghosh, Dipanjan In Silico Pharmacol Original Research Coronavirus spread is an emergency reported globally, and a specific treatment strategy for this significant health issue is not yet identified. COVID-19 is a highly contagious disease and needs to be controlled promptly as millions of deaths have been reported. Due to the absence of proficient restorative alternatives and preliminary clinical restrictions, FDA-approved medications can be a decent alternative to deal with the coronavirus malady (COVID-19). The present study aims to meet the imperative necessity of effective COVID-19 drug treatment with a computational multi-target drug repurposing approach. This study focused on screening the FDA-approved drugs derived from the fungal source and its derivatives against the SARS-CoV-2 targets. All the selected drugs showed good binding affinity towards these targets, and out of them, bromocriptine was found to be the best candidate after the screening on the COVID-19 targets. Further, bromocriptine is analyzed by molecular simulation and MM-PBSA study. These studies suggested that bromocriptine can be the best candidate for TMPRSS2, Main protease, and RdRp protein. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40203-021-00089-8. Springer Berlin Heidelberg 2021-04-04 /pmc/articles/PMC8019482/ /pubmed/33842191 http://dx.doi.org/10.1007/s40203-021-00089-8 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021
spellingShingle Original Research
Singh, Rajveer
Gautam, Anupam
Chandel, Shivani
Sharma, Vipul
Ghosh, Arijit
Dey, Dhritiman
Roy, Syamal
Ravichandiran, V.
Ghosh, Dipanjan
Computational screening of FDA approved drugs of fungal origin that may interfere with SARS-CoV-2 spike protein activation, viral RNA replication, and post‐translational modification: a multiple target approach
title Computational screening of FDA approved drugs of fungal origin that may interfere with SARS-CoV-2 spike protein activation, viral RNA replication, and post‐translational modification: a multiple target approach
title_full Computational screening of FDA approved drugs of fungal origin that may interfere with SARS-CoV-2 spike protein activation, viral RNA replication, and post‐translational modification: a multiple target approach
title_fullStr Computational screening of FDA approved drugs of fungal origin that may interfere with SARS-CoV-2 spike protein activation, viral RNA replication, and post‐translational modification: a multiple target approach
title_full_unstemmed Computational screening of FDA approved drugs of fungal origin that may interfere with SARS-CoV-2 spike protein activation, viral RNA replication, and post‐translational modification: a multiple target approach
title_short Computational screening of FDA approved drugs of fungal origin that may interfere with SARS-CoV-2 spike protein activation, viral RNA replication, and post‐translational modification: a multiple target approach
title_sort computational screening of fda approved drugs of fungal origin that may interfere with sars-cov-2 spike protein activation, viral rna replication, and post‐translational modification: a multiple target approach
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8019482/
https://www.ncbi.nlm.nih.gov/pubmed/33842191
http://dx.doi.org/10.1007/s40203-021-00089-8
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