INTEDE
INTEDE provides a curated database of interactions involving drug-metabolizing enzymes (DMEs) to support analysis of microbiome-DME (MICBIO), xenobiotic-DME (XEOTIC), and host protein-DME (HOSPPI) relationships underlying drug metabolism and precision medicine.
Key Features:
- Comprehensive DME Confirmation: 1047 unique DMEs were confirmed, comprising 448 host and 599 microbial enzymes, based on their metabolizing drugs.
- Extensive Interaction Data Collection: The database includes 3,359 MICBIO interactions between 225 microbial species and 185 DMEs; 47,778 XEOTIC interactions involving 4,150 xenobiotics and 501 DMEs; and 7,849 HOSPPI interactions among 565 human proteins and 566 DMEs.
- Facilitation of Crosstalk Analysis: Integration of MICBIO, XEOTIC, and HOSPPI data enables analysis of crosstalk among microbial, xenobiotic, and host-protein influences on drug metabolism.
- Implications for Precision Medicine: Collective consideration of these interaction types supports identification of signatures relevant to disease etiology and optimization of clinical treatment strategies.
Scientific Applications:
- Pharmacokinetics and pharmacodynamics analysis: Supports investigation of how DMEs modulate drug absorption, distribution, metabolism, and excretion across microbial, xenobiotic, and host-protein contexts.
- Prediction of drug responses and adverse effects: Provides interaction data to improve prediction of individual and population-level drug responses and toxicity.
- Precision medicine strategy development: Informs personalization of treatment plans by accounting for microbial, xenobiotic, and host-protein interactions with DMEs.
- Mechanistic studies of microbial and xenobiotic influences: Enables analysis of species-specific microbial enzymes and xenobiotic compounds that alter DME activity.
Methodology:
DME confirmation was performed through their metabolizing drugs and interaction data were compiled across the MICBIO, XEOTIC, and HOSPPI categories.
Topics
Details
- Tool Type:
- api
- Added:
- 1/18/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Yin J, Li F, Zhou Y, Mou M, Lu Y, Chen K, Xue J, Luo Y, Fu J, He X, Gao J, Zeng S, Yu L, Zhu F. INTEDE: interactome of drug-metabolizing enzymes. Nucleic Acids Research. 2020;49(D1):D1233-D1243. doi:10.1093/nar/gkaa755. PMID:33045737. PMCID:PMC7779056.
DOI: 10.1093/nar/gkaa755
PMID: 33045737
PMCID: PMC7779056
Funding: - National Key Research and Development Program of China: 2017YFC0908600, 2018YFC0910500
- National Natural Science Foundation of China: 81872798, U1909208
- Key R&D Program of Zhejiang Province: 2020C03010
- Central Universities: 10611CDJXZ238826, 2018CDQYSG0007, 2018QNA7023, CDJZR14468801
- China Knowledge Centre for Engineering Sciences and Technology: CKCEST-2019-1-12