4.7 Article

SynaptomeDB: an ontology-based knowledgebase for synaptic genes

Journal

BIOINFORMATICS
Volume 28, Issue 6, Pages 897-899

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bts040

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Funding

  1. National Institutes of Health [R01-MH087979, K01-MH093809, R01-MH083738]
  2. Johns Hopkins Brain Science Institute

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Motivation: The synapse is integral to the function of the brain and may be an important source of dysfunction underlying many neuro-psychiatric disorders. Consequently, it is an excellent candidate for large-scale genomic and proteomic study. However, while the tools and databases available for the annotation of high-throughput DNA and protein are generally robust, a comprehensive resource dedicated to the integration of information about the synapse is lacking. Results: We present an integrated database, called SynaptomeDB, to retrieve and annotate genes comprising the synaptome. These genes encode components of the synapse including neurotransmitters and their receptors, adhesion/cytoskeletal proteins, scaffold proteins, membrane transporters. SynaptomeDB integrates various and complex data sources for synaptic genes and proteins.

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