Signaling gateway molecule pages-a data model perspective

被引：16

作者：

Dinasarapu, Ashok Reddy ^{[1
]}

Saunders, Brian ^{[2
]}

Ozerlat, Iley ^{[3
]}

Azam, Kenan ^{[2
]}

Subramaniam, Shankar ^{[1
,2
,4
,5
]}

机构：

[1] Univ Calif San Diego, Dept Bioengn, La Jolla, CA 92093 USA

[2] Univ Calif San Diego, San Diego Super Comp Ctr, La Jolla, CA 92093 USA

[3] Nat Publishing Grp, London N1 9XW, England

[4] Univ Calif San Diego, Dept Chem & Biochem, La Jolla, CA 92093 USA

[5] Univ Calif San Diego, Dept Cellular & Mol Med, La Jolla, CA 92093 USA

来源：

BIOINFORMATICS | 2011年 / 27卷 / 12期

关键词：

NETWORKS; BIOLOGY;

D O I：

10.1093/bioinformatics/btr190

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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 a state 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.

引用

页码：1736 / 1738

页数：3

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