ArticleNucleic acids research2021
INTEDE: interactome of drug-metabolizing enzymes.
Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
- Unlocking therapeutic impacts of the gut microbiota with computational tools.Current opinion in biotechnology · 2026Review
- Insight into the structure, oligomerization, and the role in drug resistance of human UDP-glucuronosyltransferases.Archives of toxicology · 2025Review
- The Application of Artificial Intelligence in Drug ADME Research.Current drug metabolism · 2025Article
- TarKG: a comprehensive biomedical knowledge graph for target discovery.Bioinformatics (Oxford, England) · 2024Article
- DDID: a comprehensive resource for visualization and analysis of diet-drug interactions.Briefings in bioinformatics · 2024Article
- FERREG: ferroptosis-based regulation of disease occurrence, progression and therapeutic response.Briefings in bioinformatics · 2024Article
- TTD: Therapeutic Target Database describing target druggability information.Nucleic acids research · 2024Article
- VARIDT 3.0: the phenotypic and regulatory variability of drug transporter.Nucleic acids research · 2024Article
- ADCdb: the database of antibody-drug conjugates.Nucleic acids research · 2024Article
- TheMarker: a comprehensive database of therapeutic biomarkers.Nucleic acids research · 2024Article
- INTEDE 2.0: the metabolic roadmap of drugs.Nucleic acids research · 2024Article
- Enzyme Databases in the Era of Omics and Artificial Intelligence.International journal of molecular sciences · 2023Review
- DCABM-TCM: A Database of Constituents Absorbed into the Blood and Metabolites of Traditional Chinese Medicine.Journal of chemical information and modeling · 2023Article
- DrugMAP: molecular atlas and pharma-information of all drugs.Nucleic acids research · 2023Article
- M6AREG: m6A-centered regulation of disease development and drug response.Nucleic acids research · 2023Article
- DRESIS: the first comprehensive landscape of drug resistance information.Nucleic acids research · 2023Article
- Transcription Factors and ncRNAs Associated withBiomedicines · 2022Article
- Molecular dynamics simulations highlight the altered binding landscape at the spike-ACE2 interface between the Delta and Omicron variants compared to the SARS-CoV-2 original strain.Computers in biology and medicine · 2022Article
- In-silico screening and in-vitro assay show the antiviral effect of Indomethacin against SARS-CoV-2.Computers in biology and medicine · 2022Article
- RNA-RNA interactions between SARS-CoV-2 and host benefit viral development and evolution during COVID-19 infection.Briefings in bioinformatics · 2022Article
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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