Protein Interface Residues Prediction Based on Amino Acid Properties Only

被引：0

作者：

Wang, Bing ^{[1
,2
]}

Chen, Peng ^{[3
]}

Zhang, Jun ^{[2
]}

机构：

[1] Anhui Univ Technol, Sch Elect Engn & Informat, Maanshan 243002, Anhui, Peoples R China

[2] Univ Louisville, Dept Chem, Louisville, KY 40292 USA

[3] Chinese Acad Sci, Hefei Inst Intelligent Machines, Hefei 230031, Peoples R China

来源：

BIO-INSPIRED COMPUTING AND APPLICATIONS | 2012年 / 6840卷

基金：

美国国家科学基金会;

关键词：

Amino Acid Property; Protein Interface Residues; Support Vector Machines; Hetero-complexes; INTERACTION SITES;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Protein-protein interactions play essential roles in protein function implementation. A computational model is introduced in this work for predicting protein interface residues based on amino acid chemicophysical properties only. 17 amino acid properties are selected from AAindex database and used as input features of a prediction model which is constructed by support vector machines method to infer protein interface residues in protein hetero-complexes. The results achieved in this work demonstrated the properties used in this work can actually capture up the difference between interface and noninterface residues.

引用

页码：448 / +

页数：2

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