首页> 外文会议>Bioinformatics Research and Development; Lecture Notes in Bioinformatics; 4414 >Patch Prediction of Protein Interaction Sites: Validation of a Scoring Function for an Online Server
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Patch Prediction of Protein Interaction Sites: Validation of a Scoring Function for an Online Server

机译:蛋白质相互作用位点的补丁预测:在线服务器评分功能的验证

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摘要

An online protein interaction server has been designed and implemented to make predictions for 256 nonhomologous protein-protein interaction sites using patch analysis. Predictions of interactions sites are made using a scoring function that ranks four parameters, Solvation Potential, Hydrophobicity, Accessible Surface Area and Residue Interface Propensity, for overlapping patches of surface residues. Using the server, correct predictions were made for 85% of an original hand curated data set of 28 homodimers and for 65% of a new dataset of 256 homodimeric proteins. This is an increased prediction rate over the original algorithm, and proves that the method is valid for a larger set of proteins that includes more diverse interaction sites. In addition, a number of proteins for which predictions are categorized as incorrect, are shown to have alternative protein interaction sites on their surfaces.
机译:已经设计并实现了在线蛋白质相互作用服务器,以使用补丁程序分析预测256个非同源蛋白质-蛋白质相互作用位点。使用评分功能对相互作用位点进行预测,该功能对四个参数(溶剂化电位,疏水性,可及表面积和残基界面倾向性)进行排序,以重叠表面残渣。使用服务器,对28种同二聚体的原始手工整理数据集的85%和256种同二聚体蛋白质的新数据集的65%做出了正确的预测。与原始算法相比,这提高了预测率,并证明了该方法对于包含更多种相互作用位点的更大的一组蛋白质有效。另外,许多蛋白质的预测被分类为不正确的蛋白质,显示在其表面上具有替代的蛋白质相互作用位点。

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