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Bioinformatics Advance Access published online on January 18, 2005
Bioinformatics, doi:10.1093/bioinformatics/bti273
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Bioinformatics © Oxford University Press 2005; all rights reserved.
Received September 23, 2004
Revised January 10, 2005
Accepted January 11, 2005

Article

Online Predicted Human Interaction Database

Kevin R. Brown 1 and Igor Jurisica 2*

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

* To whom correspondence should be addressed.
Igor Jurisica, E-mail: juris{at}ai.utoronto.ca


  Abstract

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 S. cerevisiae, C. elegans, D. melanogaster, and M. 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.


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