Protein-protein interface hot spots prediction based on a hybrid feature selection strategy

Protein-protein interface hot spots prediction based on a hybrid feature selection strategy

Abstract Background Hot spots are interface residues that contribute most binding affinity to protein-protein interaction. A compact and relevant feature subset is important for building machine learning methods to predict hot spots on protein-protein interfaces. Although different methods have been...

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Bibliographic Details
Main Authors: Yanhua Qiao, Yi Xiong, Hongyun Gao, Xiaolei Zhu, Peng Chen
Format: Article
Language:English
Published: BMC 2018-01-01
Series:BMC Bioinformatics
Subjects:
Protein-protein Interface
Hot spot
Feature selection
Residue conservation
Online Access:http://link.springer.com/article/10.1186/s12859-018-2009-5

Internet

http://link.springer.com/article/10.1186/s12859-018-2009-5

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