TRANSFAC, TRANSPATH and CYTOMER as starting points for an ontology of regulatory networks.
Building an ontology of a defined knowledge domain can help to model an appropriate database structure for the relevant contents. On the other hand, having a comprehensive overview of the knowledge of a certain domain as it may be provided by corresponding databases facilitates building an appropriate ontology, or ontologies with different granularities, which may then provide many additional benefits in handling the stored and in retrieving additional information from heterogenous sources. In this communication, the first steps are reported how we may derive an ontology for the domain of "molecular regulation" from our databases TRANSFAC (transcriptional regulation), TRANSPATH (signal transduction) and CYTOMER (cellular locations).
Wingender
Edgar
E
Department of Bioinformatics, UKG, University of Goettingen, Goldschmidtstr. 1, D-37077 Goettingen, Germany. e.wingender@med.uni-goettingen.de
D002477:Cells / Q000737:chemistry / Q000378:metabolism; D019295:Computational Biology; D003198:Computer Simulation; D030541:Databases, Genetic; D005786:Gene Expression Regulation; D006801:Humans; D015398:Signal Transduction