Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

General information

URL: http://cwtung.kmu.edu.tw/tipdb
Full name: TIPdb
Description: The unique geographic features of Taiwan attribute to the rich of indigenous and endemic plant species in Taiwan. These plants serve as resourceful bank for biologically active phytochemicals. TIPdb is a structured and searchable database of Anti-Cancer, Anti-Platelet, and Anti-Tuberculosis phytochemicals from indigenous plants in Taiwan. The chemical structures are also curated in the database that provides a great opportunity to develop quantitative structure-activity relationship models for the high-throughput screening of potential anti-cancer, anti-platelet, and anti-tuberculosis drugs. TIPdb-3D is the three-dimentional structure database of phytochemicals in TIPdb that has been fully integrated into TIPdb
Year founded: 2014
Last update: 6-Apr-2017
Version:
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Country/Region: China

Classification & Tag

Data type:
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Contact information

University/Institution: Kaohsiung Medical University
Address: School of Pharmacy, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
City:
Province/State: Taiwan
Country/Region: China
Contact name (PI/Team): Tung CW
Contact email (PI/Helpdesk): cwtung@kmu.edu.tw

Publications

24930145
TIPdb-3D: the three-dimensional structure database of phytochemicals from Taiwan indigenous plants. [PMID: 24930145]
Tung CW, Lin YC, Chang HS, Wang CC, Chen IS, Jheng JL, Li JH.

The rich indigenous and endemic plants in Taiwan serve as a resourceful bank for biologically active phytochemicals. Based on our TIPdb database curating bioactive phytochemicals from Taiwan indigenous plants, this study presents a three-dimensional (3D) chemical structure database named TIPdb-3D to support the discovery of novel pharmacologically active compounds. The Merck Molecular Force Field (MMFF94) was used to generate 3D structures of phytochemicals in TIPdb. The 3D structures could facilitate the analysis of 3D quantitative structure-activity relationship, the exploration of chemical space and the identification of potential pharmacologically active compounds using protein-ligand docking. Database URL: http://cwtung.kmu.edu.tw/tipdb.

Database (Oxford). 2014:2014() | 10 Citations (from Europe PMC, 2024-04-20)

Ranking

All databases:
4217/6000 (29.733%)
Health and medicine:
968/1394 (30.631%)
4217
Total Rank
10
Citations
1
z-index

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Record metadata

Created on: 2018-01-28
Curated by:
Lin Liu [2022-08-23]
Syed Sardar [2018-04-05]
Qi Wang [2018-01-27]