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Bioinformatics Advance Access originally published online on January 18, 2005
Bioinformatics 2005 21(9):2076-2082; doi:10.1093/bioinformatics/bti273
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© The Author 2005. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions{at}oupjournals.org

Online Predicted Human Interaction Database

Kevin R. Brown 1,2 and Igor Jurisica 1,2,3,*

1Division of Cancer Informatics, Ontario Cancer Institute, University of Toronto Toronto, Ontario, Canada
2Department of Medical Biophysics, University of Toronto Toronto, Ontario, Canada
3Department of Computer Science, University of Toronto Toronto, Ontario, Canada

*To whom correspondence should be addressed.

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.

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

Contact: juris{at}ai.utoronto.ca

Supplementary information: http://ophid.utoronto.ca/supplInfo.pdf


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