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Virtual high throughput screening (vHTS) - A perspective
With the exponential rise in the number of viable novel drug targets, computational methods are being increasingly applied to accelerate the drug discovery process. Virtual High Throughput Screening (vHTS) is one such established methodology to identify drug candidates from large collection of compo...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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Biomedical Informatics Publishing Group
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2586130/ https://www.ncbi.nlm.nih.gov/pubmed/19052660 |
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author | Subramaniam, Sangeetha Mehrotra, Monica Gupta, Dinesh |
author_facet | Subramaniam, Sangeetha Mehrotra, Monica Gupta, Dinesh |
author_sort | Subramaniam, Sangeetha |
collection | PubMed |
description | With the exponential rise in the number of viable novel drug targets, computational methods are being increasingly applied to accelerate the drug discovery process. Virtual High Throughput Screening (vHTS) is one such established methodology to identify drug candidates from large collection of compound libraries. Although it complements the expensive and time consuming High Throughput Screening (HTS) of compound libraries, vHTS possess inherent challenges. The successful vHTS requires the careful implementation of each phase of computational screening experiment right from target preparation to hit identification and lead optimization. This article discusses some of the important considerations that are imperative for designing a successful vHTS experiment. |
format | Text |
id | pubmed-2586130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Biomedical Informatics Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-25861302008-12-03 Virtual high throughput screening (vHTS) - A perspective Subramaniam, Sangeetha Mehrotra, Monica Gupta, Dinesh Bioinformation Views & Challenges With the exponential rise in the number of viable novel drug targets, computational methods are being increasingly applied to accelerate the drug discovery process. Virtual High Throughput Screening (vHTS) is one such established methodology to identify drug candidates from large collection of compound libraries. Although it complements the expensive and time consuming High Throughput Screening (HTS) of compound libraries, vHTS possess inherent challenges. The successful vHTS requires the careful implementation of each phase of computational screening experiment right from target preparation to hit identification and lead optimization. This article discusses some of the important considerations that are imperative for designing a successful vHTS experiment. Biomedical Informatics Publishing Group 2008-09-08 /pmc/articles/PMC2586130/ /pubmed/19052660 Text en © 2008 Biomedical Informatics Publishing Group This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Views & Challenges Subramaniam, Sangeetha Mehrotra, Monica Gupta, Dinesh Virtual high throughput screening (vHTS) - A perspective |
title | Virtual high throughput screening (vHTS) - A perspective |
title_full | Virtual high throughput screening (vHTS) - A perspective |
title_fullStr | Virtual high throughput screening (vHTS) - A perspective |
title_full_unstemmed | Virtual high throughput screening (vHTS) - A perspective |
title_short | Virtual high throughput screening (vHTS) - A perspective |
title_sort | virtual high throughput screening (vhts) - a perspective |
topic | Views & Challenges |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2586130/ https://www.ncbi.nlm.nih.gov/pubmed/19052660 |
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