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INTEDE: interactome of drug-metabolizing enzymes
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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779056/ https://www.ncbi.nlm.nih.gov/pubmed/33045737 http://dx.doi.org/10.1093/nar/gkaa755 |
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author | Yin, Jiayi Li, Fengcheng Zhou, Ying Mou, Minjie Lu, Yinjing Chen, Kangli Xue, Jia Luo, Yongchao Fu, Jianbo He, Xu Gao, Jianqing Zeng, Su Yu, Lushan Zhu, Feng |
author_facet | Yin, Jiayi Li, Fengcheng Zhou, Ying Mou, Minjie Lu, Yinjing Chen, Kangli Xue, Jia Luo, Yongchao Fu, Jianbo He, Xu Gao, Jianqing Zeng, Su Yu, Lushan Zhu, Feng |
author_sort | Yin, Jiayi |
collection | PubMed |
description | 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/ |
format | Online Article Text |
id | pubmed-7779056 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77790562021-01-07 INTEDE: interactome of drug-metabolizing enzymes Yin, Jiayi Li, Fengcheng Zhou, Ying Mou, Minjie Lu, Yinjing Chen, Kangli Xue, Jia Luo, Yongchao Fu, Jianbo He, Xu Gao, Jianqing Zeng, Su Yu, Lushan Zhu, Feng Nucleic Acids Res Database Issue 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/ Oxford University Press 2020-10-12 /pmc/articles/PMC7779056/ /pubmed/33045737 http://dx.doi.org/10.1093/nar/gkaa755 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Yin, Jiayi Li, Fengcheng Zhou, Ying Mou, Minjie Lu, Yinjing Chen, Kangli Xue, Jia Luo, Yongchao Fu, Jianbo He, Xu Gao, Jianqing Zeng, Su Yu, Lushan Zhu, Feng INTEDE: interactome of drug-metabolizing enzymes |
title | INTEDE: interactome of drug-metabolizing enzymes |
title_full | INTEDE: interactome of drug-metabolizing enzymes |
title_fullStr | INTEDE: interactome of drug-metabolizing enzymes |
title_full_unstemmed | INTEDE: interactome of drug-metabolizing enzymes |
title_short | INTEDE: interactome of drug-metabolizing enzymes |
title_sort | intede: interactome of drug-metabolizing enzymes |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779056/ https://www.ncbi.nlm.nih.gov/pubmed/33045737 http://dx.doi.org/10.1093/nar/gkaa755 |
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