Online predicted human interaction database.
BACKGROUND
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.


BACKGROUND
Freely available to academic users at http://ophid.utoronto.ca, both in tab-delimited and PSI-MI formats. Commercial users, please contact I.J.


BACKGROUND
juris@ai.utoronto.ca


BACKGROUND
http://ophid.utoronto.ca/supplInfo.pdf.
Brown
Kevin R
KR
Division of Cancer Informatics, Ontario Cancer Institute, University of Toronto, Canada.
Jurisica
Igor
I
D003628:Database Management Systems; D030562:Databases, Protein; D020869:Gene Expression Profiling / Q000379:methods*; D015894:Genome, Human; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D009862:Online Systems; D025941:Protein Interaction Mapping / Q000379:methods*; D020543:Proteome / Q000737:chemistry / Q000378:metabolism*; D014584:User-Computer Interface
D020543:Proteome