Chen Yung-Chiang, Lo Yu-Shu, Hsu Wen-Chang, Yang Jinn-Moon
Institute of Bioinformatics, National Chiao Tung University, Hsinchu, 30050, Taiwan.
Nucleic Acids Res. 2007 Jul;35(Web Server issue):W561-7. doi: 10.1093/nar/gkm346. Epub 2007 May 21.
The 3D-partner is a web tool to predict interacting partners and binding models of a query protein sequence through structure complexes and a new scoring function. 3D-partner first utilizes IMPALA to identify homologous structures (templates) of a query from a heterodimer profile library. The interacting-partner sequence profiles of these templates are then used to search interacting candidates of the query from protein sequence databases (e.g. SwissProt) by PSI-BLAST. We developed a new scoring function, which includes the contact-residue interacting score (e.g. the steric, hydrogen bonds, and electrostatic interactions) and the template consensus score (e.g. couple-conserved residue and the template similarity scores), to evaluate how well the interfaces between the query and interacting candidates. Based on this scoring function, 3D-partner provides the statistic significance, the binding models (e.g. hydrogen bonds and conserved amino acids) and functional annotations of interacting partners. The correlation between experimental energies and predicted binding affinities of our scoring function is 0.91 on 275 mutated residues from the ASEdb. The average precision of the server is 0.72 on 563 queries and the execution time of this server for a query is approximately 15 s on average. These results suggest that the 3D-partner server can be useful in protein-protein interaction predictions and binding model visualizations. The server is available online at: http://3D-partner.life.nctu.edu.tw.
3D-partner是一种网络工具,可通过结构复合物和新的评分函数预测查询蛋白质序列的相互作用伙伴和结合模型。3D-partner首先利用IMPALA从异源二聚体谱库中识别查询序列的同源结构(模板)。然后,这些模板的相互作用伙伴序列谱用于通过PSI-BLAST从蛋白质序列数据库(如SwissProt)中搜索查询序列的相互作用候选物。我们开发了一种新的评分函数,其中包括接触残基相互作用得分(如空间、氢键和静电相互作用)和模板一致性得分(如偶联保守残基和模板相似性得分),以评估查询序列与相互作用候选物之间的界面匹配程度。基于此评分函数,3D-partner提供相互作用伙伴的统计显著性、结合模型(如氢键和保守氨基酸)以及功能注释。我们的评分函数在来自ASEdb的275个突变残基上,实验能量与预测结合亲和力之间的相关性为0.91。该服务器在563个查询上的平均精度为0.72,处理一个查询的平均执行时间约为15秒。这些结果表明,3D-partner服务器在蛋白质-蛋白质相互作用预测和结合模型可视化方面可能很有用。该服务器可在线访问:http://3D-partner.life.nctu.edu.tw。