PDTD: a web-accessible protein database for drug target identification

Background: Target identification is important for modern drug discovery. With the advances in the development of molecular docking, potential binding proteins may be discovered by docking a small molecule to a repository of proteins with three-dimensional (3D) structures. To complete this task, a reverse docking program and a drug target database with 3D structures are necessary. To this end, we have developed a web server tool, TarFisDock (Target Fishing Docking) http://www.dddc.ac.cn/tarfisdock, which has been used widely by others. Recently, we have constructed a protein target database, Potential Drug Target Database (PDTD), and have integrated PDTD with TarFisDock. This combination aims to assist target identification and validation. Description: PDTD is a web-accessible protein database for in silico target identification. It currently contains >1100 protein entries with 3D structures presented in the Protein Data Bank. The data are extracted from the literatures and several...

• Type: Journal
• Year: 2008
• Where: BMCBI
• Authors: Zhenting Gao, Honglin Li, Hailei Zhang, Xiaofeng Liu, Ling Kang, Xiaomin Luo, Weiliang Zhu, Kaixian Chen, Xicheng Wang, Hualiang Jiang
• Keywords: BMCBI 2008, Drug Targets, Proteins, Target Database