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Session II : Receptor signaling and G proteins Poster II, 25
THE SIGNALING GATEWAY MOLECULE PAGES DATABASE
Clare Garvey1, Brenda Riley1, Monica Hoyos-Flight1, Bernd Pulverer1, Barbara
Marte1, Nicole Tindill2, Brian Saunders3, Warren Hedley3, Shankar Subramaniam3,
Timo Hannay1.
1. Nature Publishing Group, 4 Crinan Street, London, N1 9XW. United Kingdom. 2.
Nature Publishing Group, 75 Varick Street, 9th Floor, New York, NY 10013, USA. 3.
San Diego Supercomputer Center, University of California, San Diego, 9500 Gilman
Drive, Mail Code 0505, La Jolla, CA 92093-0505
C.Garvey@nature.com
Signaling@nature.com
Signal transduction is at the core of most biological processes and represents a vibrant area of
biological investigation. The Signaling Gateway Molecule Page database is an open access
relational database that aims to provide all relevant published information pertaining to almost
4000 cell signaling molecules. The Molecule Pages are authored by experts, anonymously
peer reviewed, and published online by Nature Publishing Group. Access to all information
in the Signaling Gateway Molecule Pages is available completely free, making this a resource
driven by the signaling community for the signaling community.
Individual Molecule Pages contain both automated data and peer reviewed author-entered
data. The automated data component integrates information about the molecule, such as
DNA and protein sequence information, structural information, sequence comparisons and
related sequences, and basic biophysical and biochemical properties, which are obtained from
external database records. The author-entered component summarizes all significant
published information on a given molecule and includes interlinked formalized descriptions
of all its biochemical states.
Over 150 full Molecule Pages have been published so far, 150 are undergoing peer review
and 400 are currently being authored. The Signaling Gateway Molecule Page database
integrates and summarizes the vast amount of published information on key signal
transduction molecules, linking up not only signaling molecules but also signaling
communities to further accelerate the pace of discovery in cellular signaling.
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