Evidence map›Paper›PMID 22489867›Full record

ArticleBMC microbiology2012

EnzyBase: a novel database for enzybiotic studies.

Hongyu Wu, Hairong Lu, Jinjiang Huang, Guodong Li, Qingshan Huang

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.2field-weighted citation impact, top 9% of its field
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

19 citing papers in PubMed, 36 citations in OpenAlex.

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  9. Machine Learning Prediction of Antimicrobial Peptides.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
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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

5 authors at 1 institution in 1 country.

Hongyu WuState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China.
Hairong Lu
Jinjiang Huang
Guodong Li
Qingshan Huang
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnzybiotics are becoming increasingly recognized as potential alternative therapies for drug-resistant bacteria. Although only a few enzybiotics are currently well characterized, much information is still missing or is unavailable for researchers. The construction of an enzybiotics database would therefore increase efficiency and convenience in investigating these bioactive proteins and thus help reduce or delay the recent increase in antibiotic resistance. DESCRIPTION: In the present manuscript, we describe the development of a novel and original database called EnzyBase, which contains 1144 enzybiotics from 216 natural sources. To ensure data quality, we limited the source of information to authoritative public databases and published scientific literature. The interface of EnzyBase is easy to use and allows users to rapidly retrieve data according to their desired search criteria and blast the database for homologous sequences. We also describe examples of database-aided enzybiotics discovery and design.

conclusionEnzyBase serves as a unique tool for enzybiotic studies. It has several potential applications, e.g. in silico enzybiotic combination as cocktails, and novel enzybiotic design, in response to continuously emerging drug-resistant pathogens. This database is a valuable platform for researchers who are interested in enzybiotic studies. EnzyBase is available online at http://biotechlab.fudan.edu.cn/database/EnzyBase/home.php.

Indexed as

Databases, ProteinAnti-Bacterial AgentsDrug DesignEnzymesInformation Storage and RetrievalInternetUser-Computer InterfaceAnti-Bacterial AgentsEnzymes

Identifiers

PMID22489867
PMCPMC3364899
OpenAlexW2074630819

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.