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用于检索代谢物与生物活性之间关系的KNApSAcK代谢物活性数据库。

KNApSAcK Metabolite Activity Database for retrieving the relationships between metabolites and biological activities.

作者信息

Nakamura Yukiko, Afendi Farit Mochamad, Parvin Aziza Kawsar, Ono Naoaki, Tanaka Ken, Hirai Morita Aki, Sato Tetsuo, Sugiura Tadao, Altaf-Ul-Amin Md, Kanaya Shigehiko

机构信息

Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma-shi, Nara, 630-0192 Japan.

出版信息

Plant Cell Physiol. 2014 Jan;55(1):e7. doi: 10.1093/pcp/pct176. Epub 2013 Nov 27.

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.

摘要

由于分子生物学数据量正在迅速增长,各种组学领域都需要数据库(DB)。在本研究中,我们为用户提供了使用说明,并描述了我们的代谢物活性数据库的当前状态。为了便于全面了解生物体代谢物之间的相互作用以及代谢物对人类健康的化学层面贡献,我们构建了一个名为KNApSAcK代谢物活性数据库的代谢物活性数据库。它包含9584个三元关系(代谢物-生物活性-目标物种),包括2356种代谢物、140个活性类别、2963条生物活性的具体描述以及778个目标物种。数据库中描述的约46%的活性与化学生态学相关,其中大部分归因于抗菌剂和植物生长调节剂。具有抗菌活性的代谢物大多是黄酮类化合物和苯丙素类化合物。具有植物生长调节作用的代谢物包括植物激素。数据库内容的一半以上与人类医疗保健和医学相关。最大的五个类别是毒素、抗癌剂、神经系统药物、心血管药物和非治疗剂,如香料和香精。KNApSAcK代谢物活性数据库集成在KNApSAcK家族数据库中,以促进各个组学领域,特别是代谢组学、营养基因组学和食品组学的进一步系统化研究。KNApSAcK代谢物活性数据库还可用于开发新型药物和材料,以及识别可行的药物资源和其他有用化合物。

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