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Identifying inhibitors of the SARS coronavirus proteinase
The Severe Acute Respiratory Syndrome (SARS) is a serious respiratory illness that has recently been reported in parts of Asia and Canada. In this study, we use molecular dynamics (MD) simulations and docking techniques to screen 29 approved and experimental drugs against the theoretical model of th...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2003
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7119134/ https://www.ncbi.nlm.nih.gov/pubmed/14592491 http://dx.doi.org/10.1016/j.bmcl.2003.08.066 |
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author | Jenwitheesuk, Ekachai Samudrala, Ram |
author_facet | Jenwitheesuk, Ekachai Samudrala, Ram |
author_sort | Jenwitheesuk, Ekachai |
collection | PubMed |
description | The Severe Acute Respiratory Syndrome (SARS) is a serious respiratory illness that has recently been reported in parts of Asia and Canada. In this study, we use molecular dynamics (MD) simulations and docking techniques to screen 29 approved and experimental drugs against the theoretical model of the SARS CoV proteinase as well as the experimental structure of the transmissible gastroenteritis virus (TGEV) proteinase. Our predictions indicate that existing HIV-1 protease inhibitors, l-700,417 for instance, have high binding affinities and may provide good starting points for designing SARS CoV proteinase inhibitors. |
format | Online Article Text |
id | pubmed-7119134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2003 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71191342020-04-03 Identifying inhibitors of the SARS coronavirus proteinase Jenwitheesuk, Ekachai Samudrala, Ram Bioorg Med Chem Lett Article The Severe Acute Respiratory Syndrome (SARS) is a serious respiratory illness that has recently been reported in parts of Asia and Canada. In this study, we use molecular dynamics (MD) simulations and docking techniques to screen 29 approved and experimental drugs against the theoretical model of the SARS CoV proteinase as well as the experimental structure of the transmissible gastroenteritis virus (TGEV) proteinase. Our predictions indicate that existing HIV-1 protease inhibitors, l-700,417 for instance, have high binding affinities and may provide good starting points for designing SARS CoV proteinase inhibitors. Elsevier Ltd. 2003-11-17 2003-10-14 /pmc/articles/PMC7119134/ /pubmed/14592491 http://dx.doi.org/10.1016/j.bmcl.2003.08.066 Text en Copyright © 2003 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 Jenwitheesuk, Ekachai Samudrala, Ram Identifying inhibitors of the SARS coronavirus proteinase |
title | Identifying inhibitors of the SARS coronavirus proteinase |
title_full | Identifying inhibitors of the SARS coronavirus proteinase |
title_fullStr | Identifying inhibitors of the SARS coronavirus proteinase |
title_full_unstemmed | Identifying inhibitors of the SARS coronavirus proteinase |
title_short | Identifying inhibitors of the SARS coronavirus proteinase |
title_sort | identifying inhibitors of the sars coronavirus proteinase |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7119134/ https://www.ncbi.nlm.nih.gov/pubmed/14592491 http://dx.doi.org/10.1016/j.bmcl.2003.08.066 |
work_keys_str_mv | AT jenwitheesukekachai identifyinginhibitorsofthesarscoronavirusproteinase AT samudralaram identifyinginhibitorsofthesarscoronavirusproteinase |