Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

TeroKit

General information

URL: http://terokit.qmclab.com
Full name: A Database-Driven Web Server for Terpenome Research
Description: TeroKit is a webserver-based multi-scale kit conducive to the research of terpenome. It contains a database with annotated data of more than 120,000 terpenome compounds, including about 80,000 natural products. TeroKit provides the online retrieval and analysis of chemical space, target identification and biosynthetic pathway (under construction) for terpenome.
Year founded: 2020
Last update: 2020-04-27
Version: 1.0
Accessibility:
Accessible
Country/Region: China

Classification & Tag

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

Contact information

University/Institution: Sun Yat-sen University
Address: Guangdong Provincial Key Laboratory of New Drug Design and Evaluation, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China
City: Zhongshan
Province/State: Guangdong
Country/Region: China
Contact name (PI/Team): Ruibo Wu
Contact email (PI/Helpdesk): wurb3@mail.sysu.edu.cn

Publications

32286817
TeroKit: A Database-Driven Web Server for Terpenome Research. [PMID: 32286817]
Tao Zeng, Zhihong Liu, Jingyuan Zhuang, Yitao Jiang, Wengan He, Hongjuan Diao, Nan Lv, Yongxing Jian, Danhong Liang, Yufan Qiu, Rong Zhang, Fan Zhang, Xiaowen Tang, Ruibo Wu

Natural products are the major resource of drug discovery, and terpenoids represent the largest family of natural products. Terpenome is defined as all terpenoid-like and terpenoid-derived natural compounds, including the terpenoids, steroids, and their derivatives. Herein, aiming to navigate the chemical and biological space of terpenome, the first comprehensive database dedicated to terpenome research has been developed by collecting over 110 000 terpenome molecules from various resources, distributed in 14 351 species, belonging to 1109 families, and showing activity against 1366 biological targets. Much of the publically available information or computationally predicted properties for each terpenome molecule is annotated and integrated into TeroKit (http://terokit.qmclab.com/), serving as free Web server for academic use. Moreover, several practical toolkits, such as target profiling and conformer generation modules, are also implemented to facilitate the drug discovery of terpenome.

J Chem Inf Model. 2020:60(4) | 47 Citations (from Europe PMC, 2026-03-28)

Ranking

All databases:
1719/6932 (75.216%)
Structure:
231/972 (76.337%)
Pathway:
109/454 (76.211%)
1719
Total Rank
42
Citations
7
z-index

Community reviews

Not Rated
Data quality & quantity:
Content organization & presentation
System accessibility & reliability:

Word cloud

Related Databases

Citing
Cited by

Record metadata

Created on: 2020-11-08
Curated by:
Dong Zou [2021-01-06]
Yuansheng Zhang [2020-11-20]
Yitong Pan [2020-11-08]