Takai-Igarashi Takako, Mizoguchi Riichiro
Computer Science, Graduate School of Information Science and Technology, University of Tokyo.
In Silico Biol. 2004;4(1):81-7. Epub 2004 Mar 6.
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.
尽管细胞信号通路数据库包含了大量该通路的反应数据,但这些反应数据目前还无法用于从中推断生物学功能。为了进行推断,我们需要在“信息传递”的背景下,对细胞信号通路中反应的生物学功能进行系统且一致的解读。为解决这一问题,我们开发了一种细胞信号通路的功能本体,即细胞信号网络本体(CSN-Ontology),它为功能解读提供了框架,并呈现了一些重要概念,如信息、选择性、可移动性以及包括时间推移在内的信号规则。