KNApSAcK Metabolite Activity Database for Retrieving the Relationships Between Metabolites and Biological Activities

代谢物 代谢组学 背包问题 生物活性 抗菌剂 生物 次生代谢物 计算生物学 生物信息学 生物化学 计算机科学 微生物学 基因 算法 体外
作者
Yasukazu Nakamura,Farit Mochamad Afendi,Aziza Kawsar Parvin,Naoaki Ono,Ken Tanaka,Aki Morita,Tetsuo Sato,Takahiro Sugiura,Md. Altaf‐Ul‐Amin,Shigehiko Kanaya
出处
期刊:Plant and Cell Physiology [Oxford University Press]
卷期号:55 (1): e7-e7 被引量:102
标识
DOI:10.1093/pcp/pct176
摘要

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.

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