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TarFisDock: a web server for identifying drug targets with docking approach
TarFisDock is a web-based tool for automating the procedure of searching for small molecule–protein interactions over a large repertoire of protein structures. It offers PDTD (potential drug target database), a target database containing 698 protein structures covering 15 therapeutic areas and a rev...
Autores principales: | , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538869/ https://www.ncbi.nlm.nih.gov/pubmed/16844997 http://dx.doi.org/10.1093/nar/gkl114 |
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author | Li, Honglin Gao, Zhenting Kang, Ling Zhang, Hailei Yang, Kun Yu, Kunqian Luo, Xiaomin Zhu, Weiliang Chen, Kaixian Shen, Jianhua Wang, Xicheng Jiang, Hualiang |
author_facet | Li, Honglin Gao, Zhenting Kang, Ling Zhang, Hailei Yang, Kun Yu, Kunqian Luo, Xiaomin Zhu, Weiliang Chen, Kaixian Shen, Jianhua Wang, Xicheng Jiang, Hualiang |
author_sort | Li, Honglin |
collection | PubMed |
description | TarFisDock is a web-based tool for automating the procedure of searching for small molecule–protein interactions over a large repertoire of protein structures. It offers PDTD (potential drug target database), a target database containing 698 protein structures covering 15 therapeutic areas and a reverse ligand–protein docking program. In contrast to conventional ligand–protein docking, reverse ligand–protein docking aims to seek potential protein targets by screening an appropriate protein database. The input file of this web server is the small molecule to be tested, in standard mol2 format; TarFisDock then searches for possible binding proteins for the given small molecule by use of a docking approach. The ligand–protein interaction energy terms of the program DOCK are adopted for ranking the proteins. To test the reliability of the TarFisDock server, we searched the PDTD for putative binding proteins for vitamin E and 4H-tamoxifen. The top 2 and 10% candidates of vitamin E binding proteins identified by TarFisDock respectively cover 30 and 50% of reported targets verified or implicated by experiments; and 30 and 50% of experimentally confirmed targets for 4H-tamoxifen appear amongst the top 2 and 5% of the TarFisDock predicted candidates, respectively. Therefore, TarFisDock may be a useful tool for target identification, mechanism study of old drugs and probes discovered from natural products. TarFisDock and PDTD are available at . |
format | Text |
id | pubmed-1538869 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-15388692006-08-18 TarFisDock: a web server for identifying drug targets with docking approach Li, Honglin Gao, Zhenting Kang, Ling Zhang, Hailei Yang, Kun Yu, Kunqian Luo, Xiaomin Zhu, Weiliang Chen, Kaixian Shen, Jianhua Wang, Xicheng Jiang, Hualiang Nucleic Acids Res Article TarFisDock is a web-based tool for automating the procedure of searching for small molecule–protein interactions over a large repertoire of protein structures. It offers PDTD (potential drug target database), a target database containing 698 protein structures covering 15 therapeutic areas and a reverse ligand–protein docking program. In contrast to conventional ligand–protein docking, reverse ligand–protein docking aims to seek potential protein targets by screening an appropriate protein database. The input file of this web server is the small molecule to be tested, in standard mol2 format; TarFisDock then searches for possible binding proteins for the given small molecule by use of a docking approach. The ligand–protein interaction energy terms of the program DOCK are adopted for ranking the proteins. To test the reliability of the TarFisDock server, we searched the PDTD for putative binding proteins for vitamin E and 4H-tamoxifen. The top 2 and 10% candidates of vitamin E binding proteins identified by TarFisDock respectively cover 30 and 50% of reported targets verified or implicated by experiments; and 30 and 50% of experimentally confirmed targets for 4H-tamoxifen appear amongst the top 2 and 5% of the TarFisDock predicted candidates, respectively. Therefore, TarFisDock may be a useful tool for target identification, mechanism study of old drugs and probes discovered from natural products. TarFisDock and PDTD are available at . Oxford University Press 2006-07-01 2006-07-14 /pmc/articles/PMC1538869/ /pubmed/16844997 http://dx.doi.org/10.1093/nar/gkl114 Text en © The Author 2006. Published by Oxford University Press. All rights reserved |
spellingShingle | Article Li, Honglin Gao, Zhenting Kang, Ling Zhang, Hailei Yang, Kun Yu, Kunqian Luo, Xiaomin Zhu, Weiliang Chen, Kaixian Shen, Jianhua Wang, Xicheng Jiang, Hualiang TarFisDock: a web server for identifying drug targets with docking approach |
title | TarFisDock: a web server for identifying drug targets with docking approach |
title_full | TarFisDock: a web server for identifying drug targets with docking approach |
title_fullStr | TarFisDock: a web server for identifying drug targets with docking approach |
title_full_unstemmed | TarFisDock: a web server for identifying drug targets with docking approach |
title_short | TarFisDock: a web server for identifying drug targets with docking approach |
title_sort | tarfisdock: a web server for identifying drug targets with docking approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538869/ https://www.ncbi.nlm.nih.gov/pubmed/16844997 http://dx.doi.org/10.1093/nar/gkl114 |
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