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
相关论文
共 50 条
  • [1] Identification of hot regions in hub protein-protein interactions by clustering and PPRA optimization
    Lin, Xiaoli
    Zhang, Xiaolong
    [J]. BMC MEDICAL INFORMATICS AND DECISION MAKING, 2021, 21 (SUPPL 1)
  • [2] Prediction and Analysis of Hot Region in Protein-Protein Interactions
    Lin, Xiaoli
    Zhang, Xiaolong
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2016, : 1598 - 1603
  • [3] Identification of hot regions in protein-protein interactions by sequential pattern mining
    Chen-Ming Hsu
    Chien-Yu Chen
    Baw-Jhiune Liu
    Chih-Chang Huang
    Min-Hung Laio
    Chien-Chieh Lin
    Tzung-Lin Wu
    [J]. BMC Bioinformatics, 8
  • [4] Identification of hot regions in protein-protein interactions by sequential pattern mining
    Hsu, Chen-Ming
    Chen, Chien-Yu
    Liu, Baw-Jhiune
    Huang, Chih-Chang
    Laio, Min-Hung
    Lin, Chien-Chieh
    Wu, Tzung-Lin
    [J]. BMC BIOINFORMATICS, 2007, 8 (Suppl 5)
  • [5] Identification of hot regions in hub protein–protein interactions by clustering and PPRA optimization
    Xiaoli Lin
    Xiaolong Zhang
    [J]. BMC Medical Informatics and Decision Making, 21
  • [6] Testing whether hot regions in protein-protein interactions are conserved in different species
    Hu, Jing
    Zhang, Xiaolong
    [J]. PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE, 2015, : 1624 - 1629
  • [7] Hot regions in protein-protein interactions: The organization and contribution of structurally conserved hot spot residues
    Keskin, O
    Ma, BY
    Nussinov, R
    [J]. BIOPHYSICAL JOURNAL, 2005, 88 (01) : 5A - 5A
  • [8] Hot regions in protein-protein interactions: The organization and contribution of structurally conserved hot spot residues
    Keskin, O
    Ma, BY
    Nussinov, R
    [J]. JOURNAL OF MOLECULAR BIOLOGY, 2005, 345 (05) : 1281 - 1294
  • [9] Conservation of hot regions in protein-protein interaction in evolution
    Hu, Jing
    Li, Jiarui
    Chen, Nansheng
    Zhang, Xiaolong
    [J]. METHODS, 2016, 110 : 73 - 80
  • [10] Prediction of Hot Regions in Protein-Protein Interactions Based on Complex Network and Community Detection
    Nan, Dongfang
    Zhang, Xiaolong
    [J]. 2013 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2013,