Murakami Yoichi, Jones Susan
Department of Biochemistry, School of Life Sciences, John Maynard Smith Building, University of Sussex, Falmer, Brighton, BN1 9QG, UK.
Bioinformatics. 2006 Jul 15;22(14):1794-5. doi: 10.1093/bioinformatics/btl171. Epub 2006 May 3.
SHARP2 is a flexible web-based bioinformatics tool for predicting potential protein-protein interaction sites on protein structures. It implements a predictive algorithm that calculates multiple parameters for overlapping patches of residues on the surface of a protein. Six parameters are calculated: solvation potential, hydrophobicity, accessible surface area, residue interface propensity, planarity and protrusion (SHARP2). Parameter scores for each patch are combined, and the patch with the highest combined score is predicted as a potential interaction site. SHARP2 enables users to upload 3D protein structure files in PDB format, to obtain information on potential interaction sites as downloadable HTML tables and to view the location of the sites on the 3D structure using Jmol. The server allows for the input of multiple structures and multiple combinations of parameters. Therefore predictions can be made for complete datasets, as well as individual structures.
SHARP2是一个基于网络的灵活生物信息学工具,用于预测蛋白质结构上潜在的蛋白质-蛋白质相互作用位点。它实现了一种预测算法,该算法可为蛋白质表面重叠的残基片段计算多个参数。计算六个参数:溶剂化势、疏水性、可及表面积、残基界面倾向、平面度和突出度(SHARP2)。每个片段的参数得分进行组合,得分最高的片段被预测为潜在的相互作用位点。SHARP2允许用户上传PDB格式的3D蛋白质结构文件,以可下载的HTML表格形式获取潜在相互作用位点的信息,并使用Jmol查看这些位点在3D结构上的位置。该服务器允许输入多个结构和多个参数组合。因此,可以对完整数据集以及单个结构进行预测。