PROGRESS IN COMPUTATIONAL STUDIES OF HOST-PATHOGEN INTERACTIONS

被引：33
|
作者：
Zhou, Hufeng [1 ]
Jin, Jingjing [2 ]
Wong, Limsoon [2 ]
机构：
[1] Natl Univ Singapore, NUS Grad Sch Integrat Sci & Engn, Singapore 117456, Singapore
[2] Natl Univ Singapore, Sch Comp, Singapore 117417, Singapore
来源：
JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY | 2013年 / 11卷 / 02期
关键词：
Host-pathogen interaction; protein-protein interaction; PPI; infectious diseases; PROTEIN-PROTEIN INTERACTIONS; IMMUNODEFICIENCY-VIRUS TYPE-1; INTERACTION DATABASE; DATA INTEGRATION; DENGUE VIRUS; PHI-BASE; PREDICTION; IDENTIFICATION; DOMAIN; HIV-1;
D O I：
10.1142/S0219720012300018
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
Host-pathogen interactions are important for understanding infection mechanism and developing better treatment and prevention of infectious diseases. Many computational studies on host-pathogen interactions have been published. Here, we review recent progress and results in this field and provide a systematic summary, comparison and discussion of computational studies on host-pathogen interactions, including prediction and analysis of host-pathogen protein-protein interactions; basic principles revealed from host-pathogen interactions; and database and software tools for host-pathogen interaction data collection, integration and analysis.
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页数：26
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