Evidence map›Paper›PMID 21556138›Full record

ArticlePloS one2011

Representative proteomes: a stable, scalable and unbiased proteome set for sequence analysis and functional annotation.

Chuming Chen, Darren A Natale, Robert D Finn, Hongzhan Huang, Jian Zhang, Cathy H Wu, Raja Mazumder

Abstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

  1. A novel method to select Reference Proteomes in UniProt.bioRxiv : the preprint server for biology · 2026
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  2. Review
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  8. A general mechanism for transcription bubble nucleation in bacteria.Proceedings of the National Academy of Sciences of the United States of America · 2023
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  15. Review
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  18. Observational
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  20. Article

15 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

7 authors.

Chuming ChenCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, Delaware, United States of America.
Darren A Natale
Robert D Finn
Hongzhan Huang
Jian Zhang
Cathy H Wu
Raja Mazumder

Funding

The UniProt protein sequence and function knowledgebaseU01HG002712 · NHGRI · EUROPEAN MOLECULAR BIOLOGY LABORATORY · PI APWEILER, ROLF · 2002 to 2009
$44.3M
Howard Hughes Medical InstituteNHGRI NIH HHS 2U01HG02712-04NHGRI NIH HHS U01 HG002712
6 · The paper itself

Abstract

The accelerating growth in the number of protein sequences taxes both the computational and manual resources needed to analyze them. One approach to dealing with this problem is to minimize the number of proteins subjected to such analysis in a way that minimizes loss of information. To this end we have developed a set of Representative Proteomes (RPs), each selected from a Representative Proteome Group (RPG) containing similar proteomes calculated based on co-membership in UniRef50 clusters. A Representative Proteome is the proteome that can best represent all the proteomes in its group in terms of the majority of the sequence space and information. RPs at 75%, 55%, 35% and 15% co-membership threshold (CMT) are provided to allow users to decrease or increase the granularity of the sequence space based on their requirements. We find that a CMT of 55% (RP55) most closely follows standard taxonomic classifications. Further analysis of this set reveals that sequence space is reduced by more than 80% relative to UniProtKB, while retaining both sequence diversity (over 95% of InterPro domains) and annotation information (93% of experimentally characterized proteins). All sets can be browsed and are available for sequence similarity searches and download at http://www.proteininformationresource.org/rps, while the set of 637 RPs determined using a 55% CMT are also available for text searches. Potential applications include sequence similarity searches, protein classification and targeted protein annotation and characterization.

Indexed as

ProteomeSequence Analysis, ProteinProteome

Identifiers

PMID21556138
PMCPMC3083393

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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.