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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
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/
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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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