Prediction of Protein-Protein Interactions Based on Molecular Interface Features and the Support Vector Machine

被引：0

作者：

Zhou, Weiqiang ^{[1
]}

Yan, Hong ^{[1
]}

Fan, Xiaodan ^{[2
]}

Hao, Quan ^{[3
]}

机构：

[1] City Univ Hong Kong, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China

[2] Chinese Univ Hong Kong, Dept Stat, Shatin, Hong Kong, Peoples R China

[3] Univ Hong Kong, Dept Physiol, Hong Kong, Hong Kong, Peoples R China

来源：

CURRENT BIOINFORMATICS | 2013年 / 8卷 / 01期

关键词：

Alpha shape; protein-protein interaction; structural alignment; INTERACTION SITES; ALPHA-SHAPES; INFORMATION; CLASSIFIER;

D O I：

暂无

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Protein-protein interactions play important roles in many biological progresses. Previous studies about protein-protein interactions were mainly based on sequence analysis. As more 3D structural information can be obtained from protein-protein complexes, structural analysis becomes feasible and useful. In this study, we used structural alignment to predict protein-binding sites and analyzed interface properties using 3D alpha shape. We have developed a method for protein-protein interaction prediction. The result indicates good performance of our method in discriminating protein-binding structures from non-protein-binding structures. In the experiment, our method shows best Matthews correlation coefficient of 0.204.

引用

页码：3 / 8

页数：6

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