title: KNApSAcK Metabolite Activity Database for retrieving the relationships between metabolites and biological activities.
abstract: Databases (DBs) are required by various omics fields because the volume of molecular biology data is increasing rapidly. In this study, we provide instructions for users and describe the current status of our metabolite activity DB. To facilitate a comprehensive understanding of the interactions between the metabolites of organisms and the chemical-level contribution of metabolites to human health, we constructed a metabolite activity DB known as the KNApSAcK Metabolite Activity DB. It comprises 9,584 triplet relationships (metabolite-biological activity-target species), including 2,356 metabolites, 140 activity categories, 2,963 specific descriptions of biological activities and 778 target species. Approximately 46% of the activities described in the DB are related to chemical ecology, most of which are attributed to antimicrobial agents and plant growth regulators. The majority of the metabolites with antimicrobial activities are flavonoids and phenylpropanoids. The metabolites with plant growth regulatory effects include plant hormones. Over half of the DB contents are related to human health care and medicine. The five largest groups are toxins, anticancer agents, nervous system agents, cardiovascular agents and non-therapeutic agents, such as flavors and fragrances. The KNApSAcK Metabolite Activity DB is integrated within the KNApSAcK Family DBs to facilitate further systematized research in various omics fields, especially metabolomics, nutrigenomics and foodomics. The KNApSAcK Metabolite Activity DB could also be utilized for developing novel drugs and materials, as well as for identifying viable drug resources and other useful compounds.
authors.affiliation: Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma-shi, Nara, 630-0192 Japan.
authors.forename: Yukiko
authors.initials: Y
authors.lastname: Nakamura
authors.forename: Farit Mochamad
authors.initials: FM
authors.lastname: Afendi
authors.forename: Aziza Kawsar
authors.initials: AK
authors.lastname: Parvin
authors.forename: Naoaki
authors.initials: N
authors.lastname: Ono
authors.forename: Ken
authors.initials: K
authors.lastname: Tanaka
authors.forename: Aki
authors.initials: A
authors.lastname: Hirai Morita
authors.forename: Tetsuo
authors.initials: T
authors.lastname: Sato
authors.forename: Tadao
authors.initials: T
authors.lastname: Sugiura
authors.forename: Md
authors.initials: M
authors.lastname: Altaf-Ul-Amin
authors.forename: Shigehiko
authors.initials: S
authors.lastname: Kanaya
mesh_terms: D001686:Biological Phenomena; D016000:Cluster Analysis; D019992:Databases as Topic; D006801:Humans; D055442:Metabolome; D013223:Statistics as Topic
keywords: Database; KNApSAcK family; Metabolite–activity relationship