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Signaling gateway molecule pages—a data model perspective
Author(s) -
Ashok Reddy Dinasarapu,
Brian Saunders,
Iley Ozerlat,
Kenan Azam,
Shankar Subramaniam
Publication year - 2011
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btr190
Subject(s) - sbml , markup language , computational biology , gateway (web page) , computer science , signal transduction , xml , cell signaling , biology , bioinformatics , world wide web , microbiology and biotechnology
The Signaling Gateway Molecule Pages (SGMP) database provides highly structured data on proteins which exist in different functional states participating in signal transduction pathways. A molecule page starts with astate of a native protein, without any modification and/or interactions. New states are formed with every post-translational modification or interaction with one or more proteins, small molecules or class molecules and with each change in cellular location. State transitions are caused by a combination of one or more modifications, interactions and translocations which then might be associated with one or more biological processes. In a characterized biological state, a molecule can function as one of several entities or their combinations, including channel, receptor, enzyme, transcription factor and transporter. We have also exported SGMP data to the Biological Pathway Exchange (BioPAX) and Systems Biology Markup Language (SBML) as well as in our custom XML.

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