Center for Computational Medicine and Bioinformatics, University of Michigan, 100 Washtenaw Ave, Ann Arbor, MI 48109, USA.
Bioinformatics. 2010 Dec 1;26(23):3004-5. doi: 10.1093/bioinformatics/btq563. Epub 2010 Oct 5.
G protein-coupled receptors (GPCRs) comprise the largest family of integral membrane proteins. They are the most important class of drug targets. While there exist crystal structures for only a very few GPCR sequences, numerous experiments have been performed on GPCRs to identify the critical residues and motifs. GPCRRD database is designed to systematically collect all experimental restraints (including residue orientation, contact and distance maps) available from the literature and primary GPCR resources using an automated text mining algorithm combined with manual validation, with the purpose of assisting GPCR 3D structure modeling and function annotation. The current dataset contains thousands of spatial restraints from mutagenesis, disulfide mapping distances, electron cryo-microscopy and Fourier-transform infrared spectroscopy experiments.
http://zhanglab.ccmb.med.umich.edu/GPCRRD/ CONTACT: zhng@umich.edu
Supplementary data are available at Bioinformatics online.
G 蛋白偶联受体 (GPCR) 是最大的一类整合膜蛋白，也是最重要的药物靶点之一。虽然仅有极少数 GPCR 序列有晶体结构，但已有大量实验针对 GPCR 开展，以确定关键残基和基序。GPCRRD 数据库旨在系统地收集文献和原始 GPCR 资源中所有可用的实验约束（包括残基取向、接触和距离图谱），使用自动化文本挖掘算法结合手动验证，以协助 GPCR 三维结构建模和功能注释。当前数据集包含数千个来自诱变、二硫键作图距离、电子冷冻显微镜和傅里叶变换红外光谱实验的空间约束。
http://zhanglab.ccmb.med.umich.edu/GPCRRD/
补充数据可在“Bioinformatics”在线获取。
