SHARP2:: protein-protein interaction predictions using patch analysis
SHARP2:: protein-protein interaction predictions using patch analysis
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DOI：
10.1093/bioinformatics/btl171
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发表时间：
2006-07-15
期刊：
影响因子：
5.8
通讯作者：
Jones, Susan
中科院分区：
文献类型：
--
作者：
Murakami, Yoichi;Jones, Susan
SHARP 2是一个灵活的基于网络的生物信息学工具，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，可以计算蛋白质表面上重叠残基的多个参数。计算六个参数：溶剂化势、疏水性、可及表面积、残基界面倾向、平面性和突出（SHAW）。将每个斑块的参数得分组合，并将具有最高组合得分的斑块预测为潜在的相互作用位点。SHAW使用户能够以PDB格式上传3D蛋白质结构文件，以可下载的HTML表格的形式获得潜在相互作用位点的信息，并使用Jmol查看3D结构上位点的位置。服务器允许输入多种结构和多种参数组合。因此，可以对完整的数据集以及单个结构进行预测。
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 (SHAW). Parameter scores for each patch are combined, and the patch with the highest combined score is predicted as a potential interaction site. SHAW 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.