title: Event ontology: a pathway-centric ontology for biological processes.
abstract: Event ontology is a new biomedical ontology developed to annotate pathway components in a pathway database. It organizes the concepts and terms of sub-pathways, pathways, biological phenomena, experimental conditions, medications, and external stimuli appearing in biological pathways (e.g. signal transduction, disease-, metabolic-, molecular interaction-, genetic interaction pathways, etc.). Concepts in the Event ontology are extracted manually from scientific literature. Each term has links to external databases such as Gene Ontology, Reactome, KEGG, BioCyc, and PubMed.
authors.affiliation: Institute for Bioinformatics Research and Development, Japan Science and Technology Agency, AIST Bio-IT Research Building, 2-42 Aomi, Koutou-ku, Tokyo 135-0064, Japan. kushida-tatsuya@aist.ac.jp
authors.forename: Tatsuya
authors.initials: T
authors.lastname: Kushida
authors.forename: Toshihisa
authors.initials: T
authors.lastname: Takagi
authors.forename: Ken Ichiro
authors.initials: KI
authors.lastname: Fukuda
mesh_terms: D019295:Computational Biology; D016208:Databases, Factual; D030541:Databases, Genetic; D030562:Databases, Protein; D039781:PubMed; D015398:Signal Transduction