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Lead Discovery Using Virtual Screening
The practice of virtual screening (VS) to identify chemical leads to known or novel targets is becoming a core function of the computational chemist within industry. By employing a range of techniques, when attempting to identify compounds with activity against a biological target, a small focused s...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7176223/ http://dx.doi.org/10.1007/7355_2009_3 |
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author | Bikker, Jack Andrew Narasimhan, Lakshmi S. |
author_facet | Bikker, Jack Andrew Narasimhan, Lakshmi S. |
author_sort | Bikker, Jack Andrew |
collection | PubMed |
description | The practice of virtual screening (VS) to identify chemical leads to known or novel targets is becoming a core function of the computational chemist within industry. By employing a range of techniques, when attempting to identify compounds with activity against a biological target, a small focused subset of a larger collection of compounds can be identified and tested, often with results much better than selecting a similar number of compounds at random. We will review the key methods available, their relative success, and provide practical insights into best practices and key gaps. We will also argue that the capability of VS methods has grown to a point where fuller integration with experimental methods, including HTS, could increase the effectiveness of both. |
format | Online Article Text |
id | pubmed-7176223 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71762232020-04-22 Lead Discovery Using Virtual Screening Bikker, Jack Andrew Narasimhan, Lakshmi S. Lead-Seeking Approaches Article The practice of virtual screening (VS) to identify chemical leads to known or novel targets is becoming a core function of the computational chemist within industry. By employing a range of techniques, when attempting to identify compounds with activity against a biological target, a small focused subset of a larger collection of compounds can be identified and tested, often with results much better than selecting a similar number of compounds at random. We will review the key methods available, their relative success, and provide practical insights into best practices and key gaps. We will also argue that the capability of VS methods has grown to a point where fuller integration with experimental methods, including HTS, could increase the effectiveness of both. 2009-08-06 /pmc/articles/PMC7176223/ http://dx.doi.org/10.1007/7355_2009_3 Text en © Springer-Verlag Berlin Heidelberg 2009 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Bikker, Jack Andrew Narasimhan, Lakshmi S. Lead Discovery Using Virtual Screening |
title | Lead Discovery Using Virtual Screening |
title_full | Lead Discovery Using Virtual Screening |
title_fullStr | Lead Discovery Using Virtual Screening |
title_full_unstemmed | Lead Discovery Using Virtual Screening |
title_short | Lead Discovery Using Virtual Screening |
title_sort | lead discovery using virtual screening |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7176223/ http://dx.doi.org/10.1007/7355_2009_3 |
work_keys_str_mv | AT bikkerjackandrew leaddiscoveryusingvirtualscreening AT narasimhanlakshmis leaddiscoveryusingvirtualscreening |