TBC2health: A database of experimentally validated health-beneficial effects of tea bioactive compounds

Shihua Zhang, Hongdong Xuan, Liang Zhang, Sicong Fu, Yijun Wang, Hua Yang, Yuling Tai, Youhong Song, Jinsong Zhang, Chi Tang Ho, Shaowen Li, Xiaochun Wan

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Tea is one of the most consumed beverages in the world. Considerable studies show the exceptional health benefits (e.g. antioxidation, cancer prevention) of tea owing to its various bioactive components. However, data from these extensively published papers had not been made available in a central database. To lay a foundation in improving the understanding of healthy tea functions, we established a TBC2health database that currently documents 1338 relationships between 497 tea bioactive compounds and 206 diseases (or phenotypes) manually culled from over 300 published articles. Each entry in TBC2health contains comprehensive information about a bioactive relationship that can be accessed in three aspects: (i) compound information, (ii) disease (or phenotype) information and (iii) evidence and reference. Using the curated bioactive relationships, a bipartite network was reconstructed and the corresponding network (or sub-network) visualization and topological analyses are provided for users. This database has a user-friendly interface for entry browse, search and download. In addition, TBC2health provides a submission page and several useful tools (e.g. BLAST, molecular docking) to facilitate use of the database. Consequently, TBC2health can serve as a valuable bioinformatics platform for the exploration of beneficial effects of tea on human health. TBC2health is freely available at http://camellia.ahau.edu.cn/TBC2health.

Original languageEnglish (US)
Pages (from-to)830-836
Number of pages7
JournalBriefings in bioinformatics
Volume18
Issue number5
DOIs
StatePublished - 2017

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Molecular Biology

Keywords

  • Disease
  • Health benefit
  • Network
  • Phenotype
  • Tea bioactive compound

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