Online predicted human interaction database

Bioinformatics. 2005 May 1;21(9):2076-82. doi: 10.1093/bioinformatics/bti273. Epub 2005 Jan 18.


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, both in tab-delimited and PSI-MI formats. Commercial users, please contact I.J.


Supplementary information:

Publication types

  • Evaluation Study
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Database Management Systems*
  • Databases, Protein*
  • Gene Expression Profiling / methods*
  • Genome, Human*
  • Humans
  • Information Storage and Retrieval / methods*
  • Internet
  • Online Systems
  • Protein Interaction Mapping / methods*
  • Proteome / chemistry
  • Proteome / metabolism*
  • User-Computer Interface*


  • Proteome