Online predicted human interaction database

被引:426
作者
Brown, KR
Jurisica, I
机构
[1] Ontario Canc Inst, Div Canc Informat, Toronto, ON M4X 1K9, Canada
[2] Univ Toronto, Dept Med Biophys, Toronto, ON, Canada
[3] Univ Toronto, Dept Comp Sci, Toronto, ON, Canada
基金
美国国家卫生研究院;
关键词
D O I
10.1093/bioinformatics/bti273
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Motivation: High-throughput experiments are being performed at an ever-increasing rate to systematically elucidate protein-protein interaction (PPI) networks for model organisms, while the complexities of higher eukaryotes have prevented these experiments for humans. Results: The Online Predicted Human Interaction Database (OPHID) is a web-based database of predicted interactions between human proteins. It combines the literature-derived human PPI from BIND, HPRD and MINT, with predictions made from Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila melanogaster and Mus musculus. The 23 889 predicted interactions currently listed in OPHID are evaluated using protein domains, gene co-expression and Gene Ontology terms. OPHID can be queried using single or multiple IDs and results can be visualized using our custom graph visualization program.
引用
收藏
页码:2076 / 2082
页数:7
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