Literature DB >> 10871269

BIND--a data specification for storing and describing biomolecular interactions, molecular complexes and pathways.

G D Bader1, C W Hogue.   

Abstract

MOTIVATION: Proteomics is gearing up towards high-throughput methods for identifying and characterizing all of the proteins, protein domains and protein interactions in a cell and will eventually create more recorded biological information than the Human Genome Project. Each protein expressed in a cell can interact with various other proteins and molecules in the course of its function. A standard data specification is required that can describe and store this information in all its detail and allow efficient cross-platform transfer of data. A complete specification must be the basis for any database or tool for managing and analysing this information.
RESULTS: We have defined a complete data specification in ASN.1 that can describe information about biomolecular interactions, complexes and pathways. Our group is using this data specification in our database, the Biomolecular Interaction Network Database (BIND). An interaction record is based on the interaction between two objects. An object can be a protein, DNA, RNA, ligand, molecular complex or an interaction. Interaction description encompasses cellular location, experimental conditions used to observe the interaction, conserved sequence, molecular location, chemical action, kinetics, thermodynamics, and chemical state. Molecular complexes are defined as collections of more than two interactions that form a complex, with extra descriptive information such as complex topology. Pathways are defined as collections of more than two interactions that form a pathway, with additional descriptive information such as cell cycle stage. A request for proposal of a human readable flat-file format that mirrors the BIND data specification is also tendered for interested parties. AVAILABILITY: The ASN.1 data specification for biomolecular interaction, molecular complex and pathway data is available at ftp://bioinfo.mshri.on.ca/pub/BIND/Spec/bind.asn. An interactive browser for this document is available through our homepage at http://bioinfo.mshri.on.ca/BIND/asn-browser/.

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Year:  2000        PMID: 10871269     DOI: 10.1093/bioinformatics/16.5.465

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  47 in total

1.  BIND--The Biomolecular Interaction Network Database.

Authors:  G D Bader; I Donaldson; C Wolting; B F Ouellette; T Pawson; C W Hogue
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

2.  PartsList: a web-based system for dynamically ranking protein folds based on disparate attributes, including whole-genome expression and interaction information.

Authors:  J Qian; B Stenger; C A Wilson; J Lin; R Jansen; S A Teichmann; J Park; W G Krebs; H Yu; V Alexandrov; N Echols; M Gerstein
Journal:  Nucleic Acids Res       Date:  2001-04-15       Impact factor: 16.971

3.  Relating whole-genome expression data with protein-protein interactions.

Authors:  Ronald Jansen; Dov Greenbaum; Mark Gerstein
Journal:  Genome Res       Date:  2002-01       Impact factor: 9.043

4.  SPINE: an integrated tracking database and data mining approach for identifying feasible targets in high-throughput structural proteomics.

Authors:  P Bertone; Y Kluger; N Lan; D Zheng; D Christendat; A Yee; A M Edwards; C H Arrowsmith; G T Montelione; M Gerstein
Journal:  Nucleic Acids Res       Date:  2001-07-01       Impact factor: 16.971

5.  The application of the unified modeling language in object-oriented analysis of healthcare information systems.

Authors:  Vinod Aggarwal
Journal:  J Med Syst       Date:  2002-10       Impact factor: 4.460

Review 6.  Genome informatics: current status and future prospects.

Authors:  Raimond L Winslow; Mark S Boguski
Journal:  Circ Res       Date:  2003-05-16       Impact factor: 17.367

7.  BIND: the Biomolecular Interaction Network Database.

Authors:  Gary D Bader; Doron Betel; Christopher W V Hogue
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

8.  Inferring higher functional information for RIKEN mouse full-length cDNA clones with FACTS.

Authors:  Takeshi Nagashima; Diego G Silva; Nikolai Petrovsky; Luis A Socha; Harukazu Suzuki; Rintaro Saito; Takeya Kasukawa; Igor V Kurochkin; Akihiko Konagaya; Christian Schönbach
Journal:  Genome Res       Date:  2003-06       Impact factor: 9.043

9.  Computational approaches to protein-protein interaction.

Authors:  Giacomo Franzot; Oliviero Carugo
Journal:  J Struct Funct Genomics       Date:  2003

Review 10.  Tools used to study how protein complexes are assembled in signaling cascades.

Authors:  Susan Dwane; Patrick A Kiely
Journal:  Bioeng Bugs       Date:  2011-09-01
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