DrugMAP 2.0: molecular atlas and pharma-information of all drugs

Author:

Li Fengcheng1,Mou Minjie123ORCID,Li Xiaoyi1,Xu Weize1,Yin Jiayi4,Zhang Yang5,Zhu Feng123ORCID

Affiliation:

1. College of Pharmaceutical Sciences, Children's Hospital, The Second Affiliated Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Zhejiang University , Hangzhou  310058 , China

2. State Key Lab of Advanced Drug Delivery and Release Systems, Zhejiang University , Hangzhou  310058 , China

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

4. Department of Clinical Pharmacy, The First Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University , Hangzhou  310058 , China

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

Abstract

Abstract The escalating costs and high failure rates have decelerated the pace of drug development, which amplifies the research interests in developing combinatorial/repurposed drugs and understanding off-target adverse drug reaction (ADR). In other words, it is demanded to delineate the molecular atlas and pharma-information for the combinatorial/repurposed drugs and off-target interactions. However, such invaluable data were inadequately covered by existing databases. In this study, a major update was thus conducted to the DrugMAP, which accumulated (a) 20831 combinatorial drugs and their interacting atlas involving 1583 pharmacologically important molecules; (b) 842 repurposed drugs and their interacting atlas with 795 molecules; (c) 3260 off-targets relevant to the ADRs of 2731 drugs and (d) various types of pharmaceutical information, including diverse ADMET properties, versatile diseases, and various ADRs/off-targets. With the growing demands for discovering combinatorial/repurposed therapies and the rapidly emerging interest in AI-based drug discovery, DrugMAP was highly expected to act as an indispensable supplement to existing databases facilitating drug discovery, which was accessible at: https://idrblab.org/drugmap/.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Fundamental Research Funds for Central Universities

National Key R&D Program of China

Double Top-Class University

Key R&D Program of Zhejiang

Westlake Laboratory

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

Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare

Zhejiang University

Publisher

Oxford University Press (OUP)

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