4.8 Article

INTEDE: interactome of drug-metabolizing enzymes

期刊

NUCLEIC ACIDS RESEARCH
卷 49, 期 D1, 页码 D1233-D1243

出版社

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkaa755

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资金

  1. National Key R&D Program of China [2017YFC0908600, 2018YFC0910500]
  2. National Natural Science Foundation of China [U1909208, 81872798]
  3. Leading Talent of the `Ten Thousand Plan' -National High-Level Talents Special Support Plan
  4. Key R&D Program of Zhejiang Province [2020C03010]
  5. Fundamental Research Funds for the Central Universities [2018QNA7023, 10611CDJXZ238826, 2018CDQYSG0007, CDJZR14468801]
  6. Information Technology Center, Zhejiang University
  7. China Knowledge Centre for Engineering Sciences and Technology [CKCEST-2019-1-12]

向作者/读者索取更多资源

INTEDE is a database providing interaction data of drug-metabolizing enzymes (DMEs), including microbiome-DME, xenobiotics-DME, and host protein-DME interactions. The comprehensive collection and provision of multiple types of interaction data enable crosstalk analysis among various types, serving as important reference for future precision medicine practice. Furthermore, the vast amount of accumulated data in INTEDE allows for the generalization of key features to reveal disease etiology and optimize clinical treatment.
Drug-metabolizing enzymes (DMEs) are critical determinant of drug safety and efficacy, and the interactome of DMEs has attracted extensive attention. There are 3 major interaction types in an interactome: microbiome-DME interaction (MICBIO), xenobiotics-DME interaction (XEOTIC) and host protein-DME interaction (HOSPPI). The interaction data of each type are essential for drug metabolism, and the collective consideration of multiple types has implication for the future practice of precision medicine. However, no database was designed to systematically provide the data of all types of DME interactions. Here, a database of the Interactome of Drug-Metabolizing Enzymes (INTEDE) was therefore constructed to offer these interaction data. First, 1047 unique DMEs (448 host and 599 microbial) were confirmed, for the first time, using their metabolizing drugs. Second, for these newly confirmed DMEs, all types of their interactions (3359 MICBIOs between 225 microbial species and 185 DMEs; 47 778 XEOTICs between 4150 xenobiotics and 501 DMEs; 7849 HOSPPIs between 565 human proteins and 566 DMEs) were comprehensively collected and then provided, which enabled the crosstalk analysis among multiple types. Because of the huge amount of accumulated data, the INTEDE made it possible to generalize key features for revealing disease etiology and optimizing clinical treatment. INTEDE is freely accessible at: https://idrblab.org/intede/

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