.png){kind=icon}
.png){kind=icon}
Return
TeroKit: A Database-Driven Web Server for Terpenome Research
.png){kind=icon}
PRE
AI
DOI：10.1021/acs.jcim.0c00141.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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.
Keywords:
DISCOVERY
ARTEMISININ
BIOLOGY
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
5.3
Papers:
9.1K
Citations:
4.0W