title: A pathway finding system for the cell signaling networks database.
abstract: We report on a knowledge-based pathway-finding system that builds on the cell-signaling networks database, CSNDB, which we developed previously. This new system, PaF-CSNDB, uses a general inference engine to apply rules for finding and coupling pathways between or around specific biomolecules from the CSNDB database. We show how PaF-CSNDB finds relationships in a large but fragmented collection of cell-signaling knowledge by filtering out and composing together those sections of pathways specified from an extensive and complex set of binary or pair-wise cell-signaling reactions.
authors.affiliation: Division of Chem-Bio Informatics, National Institute of Health Sciences, 1-18-1, Kamiyoga, Setagaya, Tokyo 158, Japan. taka@nihs.go.jp
authors.forename: T
authors.initials: T
authors.lastname: Takai-Igarashi
authors.forename: T
authors.initials: T
authors.lastname: Kaminuma
mesh_terms: D000818:Animals; D001704:Biopolymers / Q000378:metabolism; D002450:Cell Communication; D003198:Computer Simulation; D016208:Databases, Factual; D005103:Expert Systems; D005246:Feedback; D006801:Humans; D020928:Mitogen-Activated Protein Kinases / Q000378:metabolism; D008954:Models, Biological; D015398:Signal Transduction; D014584:User-Computer Interface
chemical_list: D001704:Biopolymers; D020928:Mitogen-Activated Protein Kinases