TTD: Therapeutic Target Database describing target druggability information

Author:

Zhou Ying123,Zhang Yintao1,Zhao Donghai1,Yu Xinyuan1,Shen Xinyi4,Zhou Yuan1,Wang Shanshan5,Qiu Yunqing12,Chen Yuzong67ORCID,Zhu Feng13ORCID

Affiliation:

1. College of Pharmaceutical Sciences, The Second Affiliated Hospital, The First Affiliated Hospital, School of Medicine, Zhejiang University , Hangzhou  310058 , China

2. National Key Laboratory of Diagnosis and Treatment of Severe Infectious Disease, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang Provincial Key Laboratory for Drug Clinical Research and Evaluation, The First Affiliated Hospital, Zhejiang University , Hangzhou , Zhejiang  310000 , 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 Environmental Health Sciences, Yale School of Public Health, Yale University , New Haven  06510 , USA

5. Qian Xuesen Collaborative Research Center of Astrochemistry and Space Life Sciences, Institute of Drug Discovery Technology, Ningbo University , Ningbo  315211 , China

6. State Key Laboratory of Chemical Oncogenomics, Key Laboratory of Chemical Biology, The Graduate School at Shenzhen, Tsinghua University , Shenzhen  518055 , China

7. Institute of Biomedical Health Technology and Engineering, Shenzhen Bay Laboratory , Shenzhen  518000 , China

Abstract

Abstract Target discovery is one of the essential steps in modern drug development, and the identification of promising targets is fundamental for developing first-in-class drug. A variety of methods have emerged for target assessment based on druggability analysis, which refers to the likelihood of a target being effectively modulated by drug-like agents. In the therapeutic target database (TTD), nine categories of established druggability characteristics were thus collected for 426 successful, 1014 clinical trial, 212 preclinical/patented, and 1479 literature-reported targets via systematic review. These characteristic categories were classified into three distinct perspectives: molecular interaction/regulation, human system profile and cell-based expression variation. With the rapid progression of technology and concerted effort in drug discovery, TTD and other databases were highly expected to facilitate the explorations of druggability characteristics for the discovery and validation of innovative drug target. TTD is now freely accessible at: https://idrblab.org/ttd/.

Funder

Natural Science Foundation of Zhejiang Province

National Key R&D Program of China Synthetic Biology Research

National Natural Science Foundation of China

Scientific Research Grant of Ningbo University

Ningbo Top Talent Project

National Key R&D Program of China

Fundamental Research Funds for Central Universities

‘Double Top-Class’ University Projects

Key R&D Programs of Zhejiang Province

Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare

Alibaba Cloud

Publisher

Oxford University Press (OUP)

Subject

Genetics

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