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Identification of Cyanobacteria-Based Natural Inhibitors Against SARS-CoV-2 Druggable Target ACE2 Using Molecular Docking Study, ADME and Toxicity Analysis

In 2019–2020, the novel “severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2)” had emerged as the biggest challenge for humanity, causing “coronavirus disease 19 (COVID-19)”. Scientists around the world have been putting continuous efforts to unfold potential inhibitors of SARS-CoV-2. We hav...

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Autores principales: Sahu, Niharika, Mishra, Sonal, Kesheri, Minu, Kanchan, Swarna, Sinha, Rajeshwar P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer India 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9255548/
https://www.ncbi.nlm.nih.gov/pubmed/35812791
http://dx.doi.org/10.1007/s12291-022-01056-6
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author Sahu, Niharika
Mishra, Sonal
Kesheri, Minu
Kanchan, Swarna
Sinha, Rajeshwar P.
author_facet Sahu, Niharika
Mishra, Sonal
Kesheri, Minu
Kanchan, Swarna
Sinha, Rajeshwar P.
author_sort Sahu, Niharika
collection PubMed
description In 2019–2020, the novel “severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2)” had emerged as the biggest challenge for humanity, causing “coronavirus disease 19 (COVID-19)”. Scientists around the world have been putting continuous efforts to unfold potential inhibitors of SARS-CoV-2. We have performed computational studies that help us to identify cyanobacterial photoprotective compounds as potential inhibitors against SARS-CoV-2 druggable target human angiotensin-converting enzyme (ACE2), which plays a vital role in the attachment and entry of the virus into the cell. Blocking the receptor-binding domain of ACE2 can prevent the access of the virus into the compartment. A molecular docking study was performed between photoprotective compounds mycosporine-like amino acids, scytonemins and ACE2 protein using AutoDock tools. Among sixteen molecularly docked metabolites, seven compounds were selected with binding energy < 6.8 kcal/mol. Afterwards, drug-likeness and toxicity of the top candidate were predicted using Swiss ADME and Pro Tox-II online servers. All top hits show desirable drug-likeness properties, but toxicity pattern analysis discloses the toxic effect of scytonemin and its derivatives, resulting in the elimination from the screening pipeline. Further molecular interaction study of the rest two ligands, mycosporine–glycine–valine and shinorine with ACE2 was performed using PyMol, Biovia Discovery studio and LigPlot+. Lastly biological activity of both the ligands was predicted by using the PASS online server. Combining the docking score and other studied properties, we believe that mycosporine–glycine–valine and shinorine have potential to be potent inhibitors of ACE2 and can be explored further to use against COVID-19.
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spelling pubmed-92555482022-07-06 Identification of Cyanobacteria-Based Natural Inhibitors Against SARS-CoV-2 Druggable Target ACE2 Using Molecular Docking Study, ADME and Toxicity Analysis Sahu, Niharika Mishra, Sonal Kesheri, Minu Kanchan, Swarna Sinha, Rajeshwar P. Indian J Clin Biochem Original Research Article In 2019–2020, the novel “severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2)” had emerged as the biggest challenge for humanity, causing “coronavirus disease 19 (COVID-19)”. Scientists around the world have been putting continuous efforts to unfold potential inhibitors of SARS-CoV-2. We have performed computational studies that help us to identify cyanobacterial photoprotective compounds as potential inhibitors against SARS-CoV-2 druggable target human angiotensin-converting enzyme (ACE2), which plays a vital role in the attachment and entry of the virus into the cell. Blocking the receptor-binding domain of ACE2 can prevent the access of the virus into the compartment. A molecular docking study was performed between photoprotective compounds mycosporine-like amino acids, scytonemins and ACE2 protein using AutoDock tools. Among sixteen molecularly docked metabolites, seven compounds were selected with binding energy < 6.8 kcal/mol. Afterwards, drug-likeness and toxicity of the top candidate were predicted using Swiss ADME and Pro Tox-II online servers. All top hits show desirable drug-likeness properties, but toxicity pattern analysis discloses the toxic effect of scytonemin and its derivatives, resulting in the elimination from the screening pipeline. Further molecular interaction study of the rest two ligands, mycosporine–glycine–valine and shinorine with ACE2 was performed using PyMol, Biovia Discovery studio and LigPlot+. Lastly biological activity of both the ligands was predicted by using the PASS online server. Combining the docking score and other studied properties, we believe that mycosporine–glycine–valine and shinorine have potential to be potent inhibitors of ACE2 and can be explored further to use against COVID-19. Springer India 2022-07-05 2023-07 /pmc/articles/PMC9255548/ /pubmed/35812791 http://dx.doi.org/10.1007/s12291-022-01056-6 Text en © The Author(s), under exclusive licence to Association of Clinical Biochemists of India 2022
spellingShingle Original Research Article
Sahu, Niharika
Mishra, Sonal
Kesheri, Minu
Kanchan, Swarna
Sinha, Rajeshwar P.
Identification of Cyanobacteria-Based Natural Inhibitors Against SARS-CoV-2 Druggable Target ACE2 Using Molecular Docking Study, ADME and Toxicity Analysis
title Identification of Cyanobacteria-Based Natural Inhibitors Against SARS-CoV-2 Druggable Target ACE2 Using Molecular Docking Study, ADME and Toxicity Analysis
title_full Identification of Cyanobacteria-Based Natural Inhibitors Against SARS-CoV-2 Druggable Target ACE2 Using Molecular Docking Study, ADME and Toxicity Analysis
title_fullStr Identification of Cyanobacteria-Based Natural Inhibitors Against SARS-CoV-2 Druggable Target ACE2 Using Molecular Docking Study, ADME and Toxicity Analysis
title_full_unstemmed Identification of Cyanobacteria-Based Natural Inhibitors Against SARS-CoV-2 Druggable Target ACE2 Using Molecular Docking Study, ADME and Toxicity Analysis
title_short Identification of Cyanobacteria-Based Natural Inhibitors Against SARS-CoV-2 Druggable Target ACE2 Using Molecular Docking Study, ADME and Toxicity Analysis
title_sort identification of cyanobacteria-based natural inhibitors against sars-cov-2 druggable target ace2 using molecular docking study, adme and toxicity analysis
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9255548/
https://www.ncbi.nlm.nih.gov/pubmed/35812791
http://dx.doi.org/10.1007/s12291-022-01056-6
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