Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

General information

URL: http://chemyang.ccnu.edu.cn/ccb/database/PADFrag
Full name: Pesticide And Drug Fragments
Description: A Database Built for the Exploration of Bioactive Fragment Space for Drug Discovery.
Year founded: 2018
Last update:
Version:
Accessibility:
Manual:
Accessible
Real time : Checking...
Country/Region: China

Classification & Tag

Data type:
Data object:
NA
Database category:
Major species:
NA
Keywords:

Contact information

University/Institution: Central China Normal University
Address: Key Laboratory of Pesticide & Chemical Biology of Ministry of Education College of Chemistry, Central China Normal University
City: Wuhan
Province/State: Hubei
Country/Region: China
Contact name (PI/Team): Guang-Fu Yang
Contact email (PI/Helpdesk): gfyang@mail.ccnu.edu.cn

Publications

30134653
PADFrag: A Database Built for the Exploration of Bioactive Fragment Space for Drug Discovery. [PMID: 30134653]
Jing-Fang Yang, Fan Wang, Wen Jiang, Guang-You Zhou, Cheng-Zhang Li, Xiao-Lei Zhu, Ge-Fei Hao, Guang-Fu Yang

Structural analyses of drugs and pesticides can enable the identification of new bioactive compounds with novel and diverse scaffolds as well as improve our understanding of the bioactive fragment space. The Pesticide And Drug Fragments (PADFrag) database is a unique bioinformatic-cheminformatic cross-referencing resource that combines detailed bioactive fragment data and potential targets with a strong focus on quantitative, analytic, and molecular-scale information for the exploration of bioactive fragment space for drug discovery ( http://chemyang.ccnu.edu.cn/ccb/database/PADFrag/ ). The main applications of PADFrag are the analysis of the privileged structures within known bioactive molecules, ab initio molecule library design, and core fragment discovery for fragment-based drug design. Other potential applications include prediction of fragment interactions and general pharmaceutical research.

J Chem Inf Model. 2018:58(9) | 8 Citations (from Europe PMC, 2024-04-20)

Ranking

All databases:
3815/6000 (36.433%)
Structure:
504/841 (40.19%)
Health and medicine:
870/1394 (37.661%)
3815
Total Rank
8
Citations
1.333
z-index

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Record metadata

Created on: 2019-01-04
Curated by:
Lina Ma [2019-01-23]
Dong Zou [2019-01-12]
Dong Zou [2019-01-04]