Evidence map›Paper›PMID 20146824›Full record

ArticleBMC genomics2010

Fungal secretome database: integrated platform for annotation of fungal secretomes.

Jaeyoung Choi, Jongsun Park, Donghan Kim, Kyongyong Jung, Seogchan Kang, Yong-Hwan Lee

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed
7.7field-weighted citation impact, top 2% 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

87 citing papers in PubMed, 191 citations in OpenAlex.

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  10. FungiProteomeDB: a database for the molecular weight and isoelectric points of the fungal proteomes.Database : the journal of biological databases and curation · 2023
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  14. Genomic insights intoFrontiers in microbiology · 2023
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  20. Review

27 more citing papers are in PubMed but not listed here.

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

6 authors at 3 institutions in 3 countries.

Jaeyoung ChoiFungal Bioinformatics Laboratory, Seoul National University, Seoul 151-921, Korea.
Jongsun Park
Donghan Kim
Kyongyong Jung
Seogchan Kang
Yong-Hwan Lee
Seoul National University · KRGenetic Resources Center · JPPennsylvania State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFungi secrete various proteins that have diverse functions. Prediction of secretory proteins using only one program is unsatisfactory. To enhance prediction accuracy, we constructed Fungal Secretome Database (FSD). DESCRIPTION: A three-layer hierarchical identification rule based on nine prediction programs was used to identify putative secretory proteins in 158 fungal/oomycete genomes (208,883 proteins, 15.21% of the total proteome). The presence of putative effectors containing known host targeting signals such as RXLX [EDQ] and RXLR was investigated, presenting the degree of bias along with the species. The FSD's user-friendly interface provides summaries of prediction results and diverse web-based analysis functions through Favorite, a personalized repository.

conclusionsThe FSD can serve as an integrated platform supporting researches on secretory proteins in the fungal kingdom. All data and functions described in this study can be accessed on the FSD web site at http://fsd.snu.ac.kr/.

Indexed as

Databases, ProteinComputational BiologyFungal ProteinsFungiGenome, FungalGenomicsProteomeUser-Computer InterfaceFungal ProteinsProteome

Identifiers

PMID20146824
PMCPMC2836287
OpenAlexW2092921819

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.