Version 13 (08 January 2010)
In this release: human protein complexes from CORUM have been integrated.
Furthermore, it is now possible to overlay expression values
on custom networks in the Java-based visualization framework.
Read the news for more info.



ConsensusPathDB contains information on physical molecular interactions, biochemical pathways, and gene regulatory networks in human. Data originate from different sources - open access databases as well as manually fed data. In order to avoid redundancies, we have developed algorithms that detect identical reactions and interactions across different sources. Currently, ConsensusPathDB contains functional molecular interactions obtained from 14 publicly available resources listed below. For more information, read our article and the documentation.

integrated
database
version protein
interactions
signaling
reactions
metabolic
reactions
gene
regulation
Reactome 31
Kegg 53.0
Humancyc 13.1
Pid 2009_12_08
Biocarta 2009_05_12
Netpath 4.1.2010
Intact-ss 2009-11-27
Intact-ls 2009-11-27
Dip 2009-12-30
Mint 2009-11-06+01:00
Hprd I_070609
Corum 5.1.2010
Biogrid 2.0.60
Spike 6.1.2010
Pig 6.1.2010
Pharmgkb 7.1.2010

Licensing information:
The use of the ConsensusPathDB web site is free of charge for academic users. Commercial users should contact Dr. Ralf Herwig ( herwig [at] molgen.mpg.de ). Interaction data from ConsensusPathDB is available under the license terms of each of the contributing databases listed above.
Disclaimer:
Although best efforts are always applied, the developers of ConsensusPathDB do not assume any legal responsibility for correctness or usefulness of the information in ConsensusPathDB.
Acknowledgements:
ConsensusPathDB is being developed by the Bioinformatics group of the Vertebrate Genomics Department at the Max-Planck-Institute for Molecular Genetics in Berlin, Germany. The project was supported by the EMBRACE and CARCINOGENOMICS projects that are funded by the European Commission within its 6th Framework Programme under the thematic area "Life Sciences, Genomics and Biotechnology for Health" (LSHG-CT- 2004-512092 and LSHB-CT-2006-037712); 7th Framework Programme project APO-SYS (HEALTH-F4-2007-200767); German Federal Ministry of Education and Research within the 65 NGFN-2 program (SMP-Protein, FKZ01GR0472); Max Planck Society within its International Research School program (IMPRS-CBSC).