Prediction of Protein-Protein Interactions Using Subcellular and Functional Localizations

摘要：

Protein-protein interaction (PPI) plays an important role in the living organisms, and a major goal of proteomics is to determine the PPI networks for the whole organisms. So both experimental and computational approaches to predict PPIs are urgently needed in the field of proteomics. In this paper, four distinct protein encoding methods are proposed, based on the biological significance extracted from the categories of protein subcellular and functional localizations. And then, some classifiers are tested to prediction PPIs. To show the robustness of classification and ensure the reliability of results, each classifier is examined by many independent random experiments of 10-fold cross validations. The model of random forest achieves some promising performance of PPIs.

作者: Yanliang Cai Jiangsheng Yu Hanpin Wang

作者单位: Keylaboratory of High Confidence Software Technologies, Ministry of Education School of Electronic Engineering and Computer Science, Peking University, China

会议类型: 国际会议

会议名称: International Conference on Life System Modeling and Simulation,and International Conference on Intelligent Computing for Sustainable Energy and Environment(2010生命系统建模与仿真国际会议暨m2010可持续能源与环境智能计算国际会议)

会议地点: 无锡

会议语种:英文

页码: 282-290

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）