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Screening of drugs by FRET analysis identifies inhibitors of SARS-CoV 3CL protease
SARS-CoV 3CL protease is essential for viral protein processing and is regarded as a good drug target to prevent SARS-CoV replication. In the present study, we established a high-throughput FRET technique for screening for anti-SARS-CoV 3CL protease drugs. Of a thousand existing drugs examined, hexa...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7092914/ https://www.ncbi.nlm.nih.gov/pubmed/15950190 http://dx.doi.org/10.1016/j.bbrc.2005.05.095 |
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author | Liu, Yu-Chih Huang, Vicky Chao, Ti-Chun Hsiao, Chwan-Deng Lin, Atsui Chang, Ming-Fu Chow, Lu-Ping |
author_facet | Liu, Yu-Chih Huang, Vicky Chao, Ti-Chun Hsiao, Chwan-Deng Lin, Atsui Chang, Ming-Fu Chow, Lu-Ping |
author_sort | Liu, Yu-Chih |
collection | PubMed |
description | SARS-CoV 3CL protease is essential for viral protein processing and is regarded as a good drug target to prevent SARS-CoV replication. In the present study, we established a high-throughput FRET technique for screening for anti-SARS-CoV 3CL protease drugs. Of a thousand existing drugs examined, hexachlorophene was identified as the most potent in inhibiting SARS-CoV 3CL protease. Further characterization showed that it was effective at micromolar concentrations (K(i) = 4 μM). The binding mode was competitive, and the inhibitory effect was dependent on preincubation time. Two other drugs, triclosan and nelfinavir, were about 10 times less potent. The structure-based search and biological evaluation of various hexachlorophene analogues were described. These analogues gave optimal inhibitory activity against SARS-CoV 3CL protease with IC(50) values ranging from 7.6 to 84.5 μM. Optimization of hexachlorophene analogues was shown to provide several active 3CL protease inhibitors that function as potential anti-SARS agents. |
format | Online Article Text |
id | pubmed-7092914 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70929142020-03-25 Screening of drugs by FRET analysis identifies inhibitors of SARS-CoV 3CL protease Liu, Yu-Chih Huang, Vicky Chao, Ti-Chun Hsiao, Chwan-Deng Lin, Atsui Chang, Ming-Fu Chow, Lu-Ping Biochem Biophys Res Commun Article SARS-CoV 3CL protease is essential for viral protein processing and is regarded as a good drug target to prevent SARS-CoV replication. In the present study, we established a high-throughput FRET technique for screening for anti-SARS-CoV 3CL protease drugs. Of a thousand existing drugs examined, hexachlorophene was identified as the most potent in inhibiting SARS-CoV 3CL protease. Further characterization showed that it was effective at micromolar concentrations (K(i) = 4 μM). The binding mode was competitive, and the inhibitory effect was dependent on preincubation time. Two other drugs, triclosan and nelfinavir, were about 10 times less potent. The structure-based search and biological evaluation of various hexachlorophene analogues were described. These analogues gave optimal inhibitory activity against SARS-CoV 3CL protease with IC(50) values ranging from 7.6 to 84.5 μM. Optimization of hexachlorophene analogues was shown to provide several active 3CL protease inhibitors that function as potential anti-SARS agents. Elsevier Inc. 2005-07-22 2005-05-31 /pmc/articles/PMC7092914/ /pubmed/15950190 http://dx.doi.org/10.1016/j.bbrc.2005.05.095 Text en Copyright © 2005 Elsevier Inc. 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 Liu, Yu-Chih Huang, Vicky Chao, Ti-Chun Hsiao, Chwan-Deng Lin, Atsui Chang, Ming-Fu Chow, Lu-Ping Screening of drugs by FRET analysis identifies inhibitors of SARS-CoV 3CL protease |
title | Screening of drugs by FRET analysis identifies inhibitors of SARS-CoV 3CL protease |
title_full | Screening of drugs by FRET analysis identifies inhibitors of SARS-CoV 3CL protease |
title_fullStr | Screening of drugs by FRET analysis identifies inhibitors of SARS-CoV 3CL protease |
title_full_unstemmed | Screening of drugs by FRET analysis identifies inhibitors of SARS-CoV 3CL protease |
title_short | Screening of drugs by FRET analysis identifies inhibitors of SARS-CoV 3CL protease |
title_sort | screening of drugs by fret analysis identifies inhibitors of sars-cov 3cl protease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7092914/ https://www.ncbi.nlm.nih.gov/pubmed/15950190 http://dx.doi.org/10.1016/j.bbrc.2005.05.095 |
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