title: Cell signaling networks ontology.
abstract: Although databases for cell signaling pathways include numbers of reaction data of the pathways, the reaction data cannot be used yet to deduce biological functions from them. For the deduction, we need systematic and consistent interpretation of biological functions of reactions in cell signaling pathways in the context of "information transmission". To address this issue, we have developed a functional ontology for cell signaling pathways, Cell Signaling Network Ontology (CSN-Ontology), which provides framework for the functional interpretation presenting some important concepts as information, selectivity, movability, and signaling rules including passage of time.
authors.affiliation: Computer Science, Graduate School of Information Science and Technology, University of Tokyo. taka@bi.is.s.u-tokyo.ac.jp
authors.forename: Takako
authors.initials: T
authors.lastname: Takai-Igarashi
authors.forename: Riichiro
authors.initials: R
authors.lastname: Mizoguchi
mesh_terms: D002477:Cells / Q000378:metabolism; D003198:Computer Simulation; D016208:Databases, Factual; D030541:Databases, Genetic; D008954:Models, Biological; D015398:Signal Transduction; D016212:Transforming Growth Factor beta / Q000378:metabolism
chemical_list: D016212:Transforming Growth Factor beta