human    yeast    mouse


Release SC9 (27.09.2013)


ConsensusPathDB-yeast integrates interaction networks in Saccharomyces cerevisiae including binary and complex protein-protein, genetic, metabolic, signaling, gene regulatory and drug-target interactions, as well as biochemical pathways. Data originate from currently 14 public resources for interactions (listed below) and interactions that we have curated from the literature. The interaction data are integrated in a complementary manner (avoiding redundancies), resulting in a seamless interaction network containing different types of interactions.

Literature:
A protocol on how to use ConsensusPathDB was just published in Nature Protocols (also featured on the cover of the current issue).
Kamburov, A. et al. (2013) The ConsensusPathDB interaction database: 2013 update. Nucleic Acids Res.
Kamburov, A. et al. (2011) ConsensusPathDB: toward a more complete picture of cell biology. Nucleic Acids Res.
Kamburov, A. et al. (2009) ConsensusPathDB--a database for integrating human interaction networks. Nucleic Acids Res.
Pentchev, K. et al. (2010) Evidence mining and novelty assessment of protein-protein interactions with the ConsensusPathDB plugin for Cytoscape. Bioinformatics
A poster about ConsensusPathDB is available here.
Current statistics:

unique physical entities:17,672
unique interactions:272,094
   gene regulations:316
   protein interactions:123,842
   genetic interactions:145,151
   biochemical reactions:2,785
   drug-target interactions:0
pathways:1,101



Integrated databases:

name protein
interactions
signaling
reactions
metabolic
reactions
gene
regulations
genetic
interactions
drug-target
interactions
biochemical
pathways
BIND
Biogrid
CYC2008
DIP
IntAct
KEGG
MINT
MIPS-MPACT
PDB
PINdb
PTM
Reactome
Wikipathways
YeastCyc

ConsensusPathDB




Licensing information:
The use of ConsensusPathDB is free for academic users. Commercial users should contact Dr. Atanas Kamburov (kamburov [at] molgen.mpg.de) or 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 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).