DIMA -- domain interaction map

Welcome to DIMA3.0

DIMA is a Domain Interaction MAp and aims at becoming a comprehensive resource for functional and physical interactions among conserved protein-domains. The scope of the resource comprises both experimental data and computational predictions. Several methods and datasets have been integrated, already and inclusion of others is under way.

DIMA3.0 integrates 5,807 structurally known interactions imported from the iPfam and 3did databases with 46,900 domain interactions predicted by four computational methods: domain phylogenetic profiling, domain pair exclusion algorithm (DPEA), correlated mutations, and domain interaction prediction in a discriminative way (DIPD). Additionally predictions are filtered to exclude those domain pairs that are reported as non-interacting by the Negatome database. The DIMA Web site allows to calculate domain interaction networks either for a domain of interest, or for entire organisms, and to explore them interactively using the Flash-based Cytoscape Web software.

DIMA3.0 is hosted by the Department of Genome oriented Bioinformatics at the Technische Universität München, Germany. We have updated DIMA with a new version 3.0 (September 2010). Click here if you want to visit the old version.

For the basic statistics of different updates, click here.


We do not impose restrictions on the use of this resource or the data generated by it. You may freely use the results for both academic and commercial purposes, as long as you cite the source properly. However, some of the data sources, algorithms or tools we use in DIMA may have more restrictive terms of use.


Please cite the following paper when refering to DIMA:

Luo Q., Pagel P., Vilne B. and Frishman D.
DIMA 3.0: Domain Interaction Map
Nucleic Acids Research 2011, 39:D724-D729.

  PubMed   Journal

References for individual methods and resources are listed in links.


This work was funded by the German Federal Ministry of Education and Research within the program "Bioinformatics for the Functional Analysis of Mammalian Genomes" (BFAM).


For comments, criticism, questions etc. please contact < dima-server AT wzw.tum.de >
(sorry, no clickable "mailto:" link – SPAM has gotten too annoying.)