INTEDE 2.0: the metabolic roadmap of drugs

Author:

Zhang Yang1,Liu Xingang1,Li Fengcheng23,Yin Jiayi24,Yang Hao1,Li Xuedong1,Liu Xinyu1,Chai Xu1,Niu Tianle1,Zeng Su2ORCID,Jia Qingzhong1,Zhu Feng125ORCID

Affiliation:

1. School of Pharmacy, Hebei Medical University , Shijiazhuang  050017 , China

2. College of Pharmaceutical Sciences, National Key Laboratory of Advanced Drug Delivery and Release Systems, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University , Hangzhou  310058 , China

3. The Children's Hospital, Zhejiang University School of Medicine, Zhejiang University , Hangzhou  310052 , China

4. Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine , Hangzhou  310052 , China

5. Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare , Hangzhou  330110 , China

Abstract

Abstract The metabolic roadmap of drugs (MRD) is a comprehensive atlas for understanding the stepwise and sequential metabolism of certain drug in living organisms. It plays a vital role in lead optimization, personalized medication, and ADMET research. The MRD consists of three main components: (i) the sequential catalyses of drug and its metabolites by different drug-metabolizing enzymes (DMEs), (ii) a comprehensive collection of metabolic reactions along the entire MRD and (iii) a systematic description on efficacy & toxicity for all metabolites of a studied drug. However, there is no database available for describing the comprehensive metabolic roadmaps of drugs. Therefore, in this study, a major update of INTEDE was conducted, which provided the stepwise & sequential metabolic roadmaps for a total of 4701 drugs, and a total of 22 165 metabolic reactions containing 1088 DMEs and 18 882 drug metabolites. Additionally, the INTEDE 2.0 labeled the pharmacological properties (pharmacological activity or toxicity) of metabolites and provided their structural information. Furthermore, 3717 drug metabolism relationships were supplemented (from 7338 to 11 055). All in all, INTEDE 2.0 is highly expected to attract broad interests from related research community and serve as an essential supplement to existing pharmaceutical/biological/chemical databases. INTEDE 2.0 can now be accessible freely without any login requirement at: http://idrblab.org/intede/

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

National Key R&D Program of China

Leading Talent of the ‘Ten Thousand Plan’ National High-Level Talents Special Support Plan of China

The Double Top-Class Universities

Fundamental Research Funds for Central Universities

Key R&D Program of Zhejiang Province

Westlake Laboratory (Westlake Laboratory of Life Science & Biomedicine); Alibaba Cloud

Information Technology Center of Zhejiang University

Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare

Hebei Provincial Department of Science and Technology

Natural Science Foundation of Hebei Province

Publisher

Oxford University Press (OUP)

Subject

Genetics

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