BIND--The Biomolecular Interaction Network Database
- PMID: 11125103
- PMCID: PMC29820
- DOI: 10.1093/nar/29.1.242
BIND--The Biomolecular Interaction Network Database
Abstract
The Biomolecular Interaction Network Database (BIND; http://binddb. org) is a database designed to store full descriptions of interactions, molecular complexes and pathways. Development of the BIND 2.0 data model has led to the incorporation of virtually all components of molecular mechanisms including interactions between any two molecules composed of proteins, nucleic acids and small molecules. Chemical reactions, photochemical activation and conformational changes can also be described. Everything from small molecule biochemistry to signal transduction is abstracted in such a way that graph theory methods may be applied for data mining. The database can be used to study networks of interactions, to map pathways across taxonomic branches and to generate information for kinetic simulations. BIND anticipates the coming large influx of interaction information from high-throughput proteomics efforts including detailed information about post-translational modifications from mass spectrometry. Version 2.0 of the BIND data model is discussed as well as implementation, content and the open nature of the BIND project. The BIND data specification is available as ASN.1 and XML DTD.
Figures

Similar articles
-
BIND: the Biomolecular Interaction Network Database.Nucleic Acids Res. 2003 Jan 1;31(1):248-50. doi: 10.1093/nar/gkg056. Nucleic Acids Res. 2003. PMID: 12519993 Free PMC article.
-
BIND--a data specification for storing and describing biomolecular interactions, molecular complexes and pathways.Bioinformatics. 2000 May;16(5):465-77. doi: 10.1093/bioinformatics/16.5.465. Bioinformatics. 2000. PMID: 10871269
-
Automatic annotation of BIND molecular interactions from three-dimensional structures.Biopolymers. 2001-2002;61(2):111-20. doi: 10.1002/1097-0282(2001/2002)61:2<111::AID-BIP10143>3.0.CO;2-8. Biopolymers. 2001. PMID: 11987160
-
Assembly of cell regulatory systems through protein interaction domains.Science. 2003 Apr 18;300(5618):445-52. doi: 10.1126/science.1083653. Science. 2003. PMID: 12702867 Review.
-
Biomolecular halogen bonds.Top Curr Chem. 2015;358:241-76. doi: 10.1007/128_2014_551. Top Curr Chem. 2015. PMID: 25326832 Review.
Cited by
-
Linking proteomic and transcriptional data through the interactome and epigenome reveals a map of oncogene-induced signaling.PLoS Comput Biol. 2013;9(2):e1002887. doi: 10.1371/journal.pcbi.1002887. Epub 2013 Feb 7. PLoS Comput Biol. 2013. PMID: 23408876 Free PMC article.
-
Swimming upstream: identifying proteomic signals that drive transcriptional changes using the interactome and multiple "-omics" datasets.Methods Cell Biol. 2012;110:57-80. doi: 10.1016/B978-0-12-388403-9.00003-5. Methods Cell Biol. 2012. PMID: 22482945 Free PMC article.
-
Domain fusion analysis by applying relational algebra to protein sequence and domain databases.BMC Bioinformatics. 2003 May 6;4:16. doi: 10.1186/1471-2105-4-16. Epub 2003 May 6. BMC Bioinformatics. 2003. PMID: 12734020 Free PMC article.
-
BIND: the Biomolecular Interaction Network Database.Nucleic Acids Res. 2003 Jan 1;31(1):248-50. doi: 10.1093/nar/gkg056. Nucleic Acids Res. 2003. PMID: 12519993 Free PMC article.
-
A new pairwise kernel for biological network inference with support vector machines.BMC Bioinformatics. 2007;8 Suppl 10(Suppl 10):S8. doi: 10.1186/1471-2105-8-S10-S8. BMC Bioinformatics. 2007. PMID: 18269702 Free PMC article.
References
-
- Mendelsohn A.R. and Brent,R. (1999) Protein interaction methods–toward an endgame. Science, 284, 1948–1950. - PubMed
-
- Cassman M., Hunter,T. and Pawson,T. (2000) Proteins suggest form of their own database. Nature, 403, 591–592. - PubMed
-
- Pawson T. (1995) Protein modules and signalling networks. Nature, 373, 573–580. - PubMed
-
- Ostell J. and Kans,J.A. (1998) In Baxevanis,A.D. and Ouellette,B.F. (eds), Bioinformatics, A Practical Guide to the Analysis of Genes and Proteins. John Wiley and Sons, New York, NY. Vol. 39, pp. 121–144.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Molecular Biology Databases