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Structure-based drug designing and immunoinformatics approach for SARS-CoV-2
The prevalence of respiratory illness caused by the novel SARS-CoV-2 virus associated with multiple organ failures is spreading rapidly because of its contagious human-to-human transmission and inadequate globalhealth care systems. Pharmaceutical repurposing, an effective drug development technique...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319274/ https://www.ncbi.nlm.nih.gov/pubmed/32691011 http://dx.doi.org/10.1126/sciadv.abb8097 |
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author | Panda, Pritam Kumar Arul, Murugan Natarajan Patel, Paritosh Verma, Suresh K. Luo, Wei Rubahn, Horst-Günter Mishra, Yogendra Kumar Suar, Mrutyunjay Ahuja, Rajeev |
author_facet | Panda, Pritam Kumar Arul, Murugan Natarajan Patel, Paritosh Verma, Suresh K. Luo, Wei Rubahn, Horst-Günter Mishra, Yogendra Kumar Suar, Mrutyunjay Ahuja, Rajeev |
author_sort | Panda, Pritam Kumar |
collection | PubMed |
description | The prevalence of respiratory illness caused by the novel SARS-CoV-2 virus associated with multiple organ failures is spreading rapidly because of its contagious human-to-human transmission and inadequate globalhealth care systems. Pharmaceutical repurposing, an effective drug development technique using existing drugs, could shorten development time and reduce costs compared to those of de novo drug discovery. We carried out virtual screening of antiviral compounds targeting the spike glycoprotein (S), main protease (M(pro)), and the SARS-CoV-2 receptor binding domain (RBD)–angiotensin-converting enzyme 2 (ACE2) complex of SARS-CoV-2. PC786, an antiviral polymerase inhibitor, showed enhanced binding affinity to all the targets. Furthermore, the postfusion conformation of the trimeric S protein RBD with ACE2 revealed conformational changes associated with PC786 drug binding. Exploiting immunoinformatics to identify T cell and B cell epitopes could guide future experimental studies with a higher probability of discovering appropriate vaccine candidates with fewer experiments and higher reliability. |
format | Online Article Text |
id | pubmed-7319274 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-73192742020-06-29 Structure-based drug designing and immunoinformatics approach for SARS-CoV-2 Panda, Pritam Kumar Arul, Murugan Natarajan Patel, Paritosh Verma, Suresh K. Luo, Wei Rubahn, Horst-Günter Mishra, Yogendra Kumar Suar, Mrutyunjay Ahuja, Rajeev Sci Adv Research Articles The prevalence of respiratory illness caused by the novel SARS-CoV-2 virus associated with multiple organ failures is spreading rapidly because of its contagious human-to-human transmission and inadequate globalhealth care systems. Pharmaceutical repurposing, an effective drug development technique using existing drugs, could shorten development time and reduce costs compared to those of de novo drug discovery. We carried out virtual screening of antiviral compounds targeting the spike glycoprotein (S), main protease (M(pro)), and the SARS-CoV-2 receptor binding domain (RBD)–angiotensin-converting enzyme 2 (ACE2) complex of SARS-CoV-2. PC786, an antiviral polymerase inhibitor, showed enhanced binding affinity to all the targets. Furthermore, the postfusion conformation of the trimeric S protein RBD with ACE2 revealed conformational changes associated with PC786 drug binding. Exploiting immunoinformatics to identify T cell and B cell epitopes could guide future experimental studies with a higher probability of discovering appropriate vaccine candidates with fewer experiments and higher reliability. American Association for the Advancement of Science 2020-07-10 /pmc/articles/PMC7319274/ /pubmed/32691011 http://dx.doi.org/10.1126/sciadv.abb8097 Text en Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Panda, Pritam Kumar Arul, Murugan Natarajan Patel, Paritosh Verma, Suresh K. Luo, Wei Rubahn, Horst-Günter Mishra, Yogendra Kumar Suar, Mrutyunjay Ahuja, Rajeev Structure-based drug designing and immunoinformatics approach for SARS-CoV-2 |
title | Structure-based drug designing and immunoinformatics approach for SARS-CoV-2 |
title_full | Structure-based drug designing and immunoinformatics approach for SARS-CoV-2 |
title_fullStr | Structure-based drug designing and immunoinformatics approach for SARS-CoV-2 |
title_full_unstemmed | Structure-based drug designing and immunoinformatics approach for SARS-CoV-2 |
title_short | Structure-based drug designing and immunoinformatics approach for SARS-CoV-2 |
title_sort | structure-based drug designing and immunoinformatics approach for sars-cov-2 |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319274/ https://www.ncbi.nlm.nih.gov/pubmed/32691011 http://dx.doi.org/10.1126/sciadv.abb8097 |
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