title: Conservation of hot regions in protein-protein interaction in evolution.
abstract: The hot regions of protein-protein interactions refer to the active area which formed by those most important residues to protein combination process. With the research development on protein interactions, lots of predicted hot regions can be discovered efficiently by intelligent computing methods, while performing biology experiments to verify each every prediction is hardly to be done due to the time-cost and the complexity of the experiment. This study based on the research of hot spot residue conservations, the proposed method is used to verify authenticity of predicted hot regions that using machine learning algorithm combined with protein's biological features and sequence conservation, though multiple sequence alignment, module substitute matrix and sequence similarity to create conservation scoring algorithm, and then using threshold module to verify the conservation tendency of hot regions in evolution. This research work gives an effective method to verify predicted hot regions in protein-protein interactions, which also provides a useful way to deeply investigate the functional activities of protein hot regions.
authors.affiliation: School of Computer Science and Technology, Wuhan University of Science and Technology, China; Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan, China.
authors.forename: Jing
authors.initials: J
authors.lastname: Hu
authors.affiliation: Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, Canada.
authors.forename: Jiarui
authors.initials: J
authors.lastname: Li
authors.affiliation: Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, Canada. Electronic address: chenn@sfu.ca.
authors.forename: Nansheng
authors.initials: N
authors.lastname: Chen
authors.affiliation: School of Computer Science and Technology, Wuhan University of Science and Technology, China; Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan, China. Electronic address: xiaolong.zhang@wust.edu.cn.
authors.forename: Xiaolong
authors.initials: X
authors.lastname: Zhang
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000379:methods*; D017124:Conserved Sequence / Q000235:genetics; D030562:Databases, Protein; D019143:Evolution, Molecular; D006801:Humans; D011487:Protein Conformation; D025941:Protein Interaction Mapping / Q000379:methods*; D060066:Protein Interaction Maps / Q000235:genetics*; D011506:Proteins / Q000235:genetics; D016415:Sequence Alignment
chemical_list: D011506:Proteins
keywords: Conservation; Evolution; Hot region; Protein–protein interaction