Evidence map›Paper›PMID 28784999›Full record

ArticleScientific reports2017

AOD: the antioxidant protein database.

Pengmian Feng, Hui Ding, Hao Lin, Wei Chen

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed.

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  17. ANPrAod: Identify Antioxidant Proteins by Fusing Amino Acid Clustering Strategy andComputational and mathematical methods in medicine · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Pengmian FengHebei Province Key Laboratory of Occupational Health and Safety for Coal Industry, School of Public Health, North China University of Science and Technology, Tangshan, 063000, China.
Hui DingKey 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.
Hao LinKey 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. hlin@uestc.edu.cn.
Wei ChenDepartment of Physics, School of Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, Tangshan, 063000, China. greatchen@ncst.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Databases, ProteinAnimalsAntioxidantsArchaeaBacteriaCatalytic DomainEukaryotaGene OntologyHumansInternetProteinsSequence Analysis, ProteinUser-Computer InterfaceVirusesAntioxidantsProteins

Identifiers

PMID28784999
PMCPMC5547145

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.