Classification of Hub Protein and Analysis of Hot Regions in Protein-Protein Interactions

被引:0
|
作者
Lin, Xiaoli [1 ,2 ]
Zhang, Xiaolong [1 ]
Hu, Jing [1 ]
机构
[1] Wuhan Univ Sci & Technol, Sch Comp Sci & Technol, Hubei Key Lab Intelligent Informat Proc & Real Ti, Wuhan 430065, Hubei, Peoples R China
[2] Wuhan Univ Sci & Technol, City Coll, Informat & Engn Dept, Wuhan 430083, Hubei, Peoples R China
基金
中国国家自然科学基金;
关键词
Hot regions; PPI; Hub protein; Machine learning; BINDING; ORGANIZATION; PREDICTION; MACHINE;
D O I
10.1007/978-3-319-63312-1_32
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Proteins are fundamental to most biological processes, which accomplish a vast amount of functions by interacting with other proteins. The research of PPI (protein-protein interaction) and its network has developed into a great importance part in bioinformatics. In the protein-protein interaction networks, most proteins interact with only a few partners, and small number of proteins interact with many partners, these proteins are called hub proteins. The hub proteins can be divided into party hub and date hub. Therefore, in this paper, we do some works about hub proteins. In addition, this paper uses the connectivity and betweenness to classify the hub protein in protein-protein interaction network. On the other hand, the paper studies hub proteins from another perspective (interfaces conformation), which reflects the organization of hot spot residues in hub protein interface.
引用
收藏
页码:365 / 374
页数:10
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