Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Honglin, Gao, Zhenting, Kang, Ling, Zhang, Hailei, Yang, Kun, Yu, Kunqian, Luo, Xiaomin, Zhu, Weiliang, Chen, Kaixian, Shen, Jianhua, Wang, Xicheng, Jiang, Hualiang
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2006
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
_version_ 1782129140937261056
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
work_keys_str_mv AT lihonglin tarfisdockawebserverforidentifyingdrugtargetswithdockingapproach
AT gaozhenting tarfisdockawebserverforidentifyingdrugtargetswithdockingapproach
AT kangling tarfisdockawebserverforidentifyingdrugtargetswithdockingapproach
AT zhanghailei tarfisdockawebserverforidentifyingdrugtargetswithdockingapproach
AT yangkun tarfisdockawebserverforidentifyingdrugtargetswithdockingapproach
AT yukunqian tarfisdockawebserverforidentifyingdrugtargetswithdockingapproach
AT luoxiaomin tarfisdockawebserverforidentifyingdrugtargetswithdockingapproach
AT zhuweiliang tarfisdockawebserverforidentifyingdrugtargetswithdockingapproach
AT chenkaixian tarfisdockawebserverforidentifyingdrugtargetswithdockingapproach
AT shenjianhua tarfisdockawebserverforidentifyingdrugtargetswithdockingapproach
AT wangxicheng tarfisdockawebserverforidentifyingdrugtargetswithdockingapproach
AT jianghualiang tarfisdockawebserverforidentifyingdrugtargetswithdockingapproach