Best interolog predictions
Best interparalog predictions
All interolog predictions
All interparalog predictions

This page contains predicted physical interactions for five model organisms: Homo sapiens, Arabidopsis thaliana, Drosophila melanogaster, Caenorhabditis elegans, Saccharomyces cerevisiae.

The algorithms used to predict the interactions are described in Kotelnikova et al, 2007. The predictions made using known interactions between paralogous proteins from the same organism are called interparalogs. The predictions made using known interactions between orthologous proteins from other organisms are called interologs.  Each prediction is annotated with p-value indicating its confidence. In addition, interactions in "Top 20000 ..." files are annotated with "Evidence" property containing Entrez Gene IDs of proteins with known interaction that was used for prediction.

Please use caution when using the predicted interactions. We recommend the following steps when working with this data:

1) Create new Pathway Studio database using Database->Manage database->Create new database
2) Download the file, unzip it and import into the new database
3) Find proteins of interest in the new database by searching for name or Entrez Gene ID
4) Use Expand option in Build pathway tool to find predicted interactions for the protein of interest
5) Inspect interactions and decide on those that you want to transfer to the ResNet database for pathway building and data analysis
6) Collect interactions of interest in a patwhay and export them using Database->Export Wizard->Pathways option
7) Import exported interactions into your working database using Database->Import Wizard->Other->Resnet option to use in pathway building and data analysis

Two sections below contain complete prediction datasets from Kotelnikova et al, 2007. The files containing more than 1 mln. relations can be imported only into central server database of Pathway Studio Workgroup or Enterprise editions. They cannot be  imported into the local database or desktop database.  The files of type RAR/RNEF XML that have extension .rar must be uncomppressed using WinRAR archiver.