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
收藏
页码：3 / 8
页数：6
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