Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

AOD

General information

URL: http://lin-group.cn/AODdatabase/index.aspx
Full name: antioxidant protein database.
Description: AOD (the antioxidant protein database) is a manually curated database of experimentally validated antioxidant proteins. Information including taxonomy, source organism, subcellular location, gene ontology, catalytic activity and function of antioxidant proteins are all extracted from UniProtKB/Swiss-Prot (release 2016_11) and captured in AOD.
Year founded: 2017
Last update: 2016
Version: version 1
Accessibility:
Accessible
Country/Region: China

Classification & Tag

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Contact information

University/Institution: University of Electronic Science and Technology of China
Address: Key Laboratory for Neuro-Information of Ministry of Education, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, 610054, China
City: Chengdu
Province/State: Sichuan
Country/Region: China
Contact name (PI/Team): Wei Chen; Hao Lin
Contact email (PI/Helpdesk): chenweiimu@gmail.com; hlin@uestc.edu.cn

Publications

28784999
AOD: the antioxidant protein database. [PMID: 28784999]
Feng P, Ding H, Lin H, Chen W.

An antioxidant is a molecule that can prevent free radicals from causing damages in organisms. The increasing studies on antioxidants calls for a specialized database that is not readily available yet. To this end, in the present study, the Antioxidant Database (AOD) was developed to help researchers understand and reveal the biological functions of antioxidant proteins. AOD is freely available at http://lin.uestc.edu.cn/AODdatabase/index.aspx . The current release of AOD consists of 710 antioxidant proteins. Information including taxonomy, source organism, subcellular location, gene ontology, catalytic activity and function of antioxidant proteins are all extracted from UniProtKB/Swiss-Prot and captured in AOD. In addition, two web-based tools for performing sequence similarity search and computationally identification of antioxidants were also integrated in AOD. We believe that AOD will greatly facilitate the researches on antioxidants.

Sci Rep. 2017:7(1) | 37 Citations (from Europe PMC, 2026-03-28)

Ranking

All databases:
2521/6932 (63.647%)
Health and medicine:
618/1755 (64.843%)
2521
Total Rank
37
Citations
4.111
z-index

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Record metadata

Created on: 2018-01-27
Curated by:
[2018-11-29]
Aniza Aziz [2018-04-24]
Aniza Aziz [2018-04-09]
Yang Zhang [2018-01-27]