Affiliation:
1. College of Pharmaceutical Sciences, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University , Hangzhou 310058, China
2. Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Alibaba–Zhejiang University Joint Research Center of Future Digital Healthcare , Hangzhou 330110, China
3. State Key Laboratory of Chemical Oncogenomics, Key Laboratory of Chemical Biology, Tsinghua Shenzhen International Graduate School, Tsinghua University , Shenzhen 518055, China
4. Qian Xuesen Collaborative Research Center of Astrochemistry and Space Life Sciences, Institute of Drug Discovery Technology, Ningbo University , Ningbo 315211, China
Abstract
Abstract
The efficacy and safety of drugs are widely known to be determined by their interactions with multiple molecules of pharmacological importance, and it is therefore essential to systematically depict the molecular atlas and pharma-information of studied drugs. However, our understanding of such information is neither comprehensive nor precise, which necessitates the construction of a new database providing a network containing a large number of drugs and their interacting molecules. Here, a new database describing the molecular atlas and pharma-information of drugs (DrugMAP) was therefore constructed. It provides a comprehensive list of interacting molecules for >30 000 drugs/drug candidates, gives the differential expression patterns for >5000 interacting molecules among different disease sites, ADME (absorption, distribution, metabolism and excretion)-relevant organs and physiological tissues, and weaves a comprehensive and precise network containing >200 000 interactions among drugs and molecules. With the great efforts made to clarify the complex mechanism underlying drug pharmacokinetics and pharmacodynamics and rapidly emerging interests in artificial intelligence (AI)-based network analyses, DrugMAP is expected to become an indispensable supplement to existing databases to facilitate drug discovery. It is now fully and freely accessible at: https://idrblab.org/drugmap/
Funder
Natural Science Foundation of Zhejiang Province
National Natural Science Foundation of China
Leading Talent of the ‘Ten Thousand Plan’—National High-Level Talents Special Support Plan of China
Fundamental Research Fund of Central University
Key R&D Program of Zhejiang Province
National Key R&D Program of China Synthetic Biology Research
‘Double Top-Class’ University
Space Exploration Breeding Grant of Qian Xuesen Lab
Scientific Research Grant of Ningbo University
Ningbo Top Talent Proj
Shenzhen Municipal Government grant
Department of Science and Technology of Guangdong Province
Westlake Laboratory
Alibaba–Zhejiang University Joint Research Center of Future Digital Healthcare
Alibaba Cloud
Information Technology Center of Zhejiang University
Publisher
Oxford University Press (OUP)
Cited by
55 articles.
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