Evidence map›Paper›PMID 37713619›Full record

ArticleNucleic acids research2024

TTD: Therapeutic Target Database describing target druggability information.

Ying Zhou, Yintao Zhang, Donghai Zhao, Xinyuan Yu, Xinyi Shen, Yuan Zhou, Shanshan Wang, Yunqing Qiu, Yuzong Chen, Feng Zhu

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 331 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
331citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

331 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Unveiling the Immune Mechanisms of Hypertension With Single-Cell Transcriptome-Wide Mendelian Randomization.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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271 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Ying ZhouCollege of Pharmaceutical Sciences, The Second Affiliated Hospital, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China.
Yintao ZhangCollege of Pharmaceutical Sciences, The Second Affiliated Hospital, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China.
Donghai ZhaoCollege of Pharmaceutical Sciences, The Second Affiliated Hospital, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China.
Xinyuan YuCollege of Pharmaceutical Sciences, The Second Affiliated Hospital, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China.
Xinyi ShenDepartment of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven 06510, USA.
Yuan ZhouCollege of Pharmaceutical Sciences, The Second Affiliated Hospital, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China.
Shanshan WangQian Xuesen Collaborative Research Center of Astrochemistry and Space Life Sciences, Institute of Drug Discovery Technology, Ningbo University, Ningbo 315211, China.
Yunqing QiuCollege of Pharmaceutical Sciences, The Second Affiliated Hospital, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China.
Yuzong ChenState Key Laboratory of Chemical Oncogenomics, Key Laboratory of Chemical Biology, The Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China.ORCID 0000-0002-5473-8022
Feng ZhuCollege of Pharmaceutical Sciences, The Second Affiliated Hospital, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0001-8069-0053

Funding

Alibaba CloudAlibaba-Zhejiang University Joint Research Center of Future Digital Healthcare'Double Top-Class' University Projects 181201*194232101Fundamental Research Funds for Central Universities 2018QNA7023Key R&D Programs of Zhejiang Province 2020C03010National Key R&D Program of China 2022YFC3400501National Key R&D Program of China Synthetic Biology Research 2019YFA0905900National Natural Science Foundation of China 82373790Natural Science Foundation of Zhejiang Province LR21H300001Ningbo Top Talent Project 215-432094250Scientific Research Grant of Ningbo University 215-432000282
6 · The paper itself

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/.

Indexed as

Databases, PharmaceuticalDrug Delivery SystemsDrug DiscoveryHumansMolecular Targeted Therapy

Identifiers

PMID37713619
PMCPMC10767903

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.