Evidence map›Paper›PMID 15479782›Full record

ReviewNucleic acids research2004

'Conserved hypothetical' proteins: prioritization of targets for experimental study.

Michael Y Galperin, Eugene V Koonin

Open access · bronzeAbstract readReview
In one paragraph

Review in Nucleic acids research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 224 papers.

0numbers the graph read from it
0cells of the map it votes in
224citing papers in PubMed
6.7field-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

224 citing papers in PubMed, 410 citations in OpenAlex.

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  7. Harnessing interpretable deep learning to predict resistance inFrontiers in cellular and infection microbiology · 2026
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  8. Recent Characterization of Key Proteins to Combat Tuberculosis.Advances in experimental medicine and biology · 2026
    Review
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  12. ACS omega · 2025
    Article
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164 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

2 authors at 1 institution in 1 country.

Michael Y GalperinNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
Eugene V Koonin
National Center for Biotechnology Information · US

Funding

Intramural NIH HHS Z99 LM999999
6 · The paper itself

Abstract

Comparative genomics shows that a substantial fraction of the genes in sequenced genomes encodes 'conserved hypothetical' proteins, i.e. those that are found in organisms from several phylogenetic lineages but have not been functionally characterized. Here, we briefly discuss recent progress in functional characterization of prokaryotic 'conserved hypothetical' proteins and the possible criteria for prioritizing targets for experimental study. Based on these criteria, the chief one being wide phyletic spread, we offer two 'top 10' lists of highly attractive targets. The first list consists of proteins for which biochemical activity could be predicted with reasonable confidence but the biological function was predicted only in general terms, if at all ('known unknowns'). The second list includes proteins for which there is no prediction of biochemical activity, even if, for some, general biological clues exist ('unknown unknowns'). The experimental characterization of these and other 'conserved hypothetical' proteins is expected to reveal new, crucial aspects of microbial biology and could also lead to better functional prediction for medically relevant human homologs.

Indexed as

GenomicsArchaeal ProteinsBacterial ProteinsComputational BiologyFungal ProteinsHumansPhylogenyProteinsArchaeal ProteinsBacterial ProteinsFungal ProteinsProteins

Identifiers

PMID15479782
PMCPMC524295
OpenAlexW2103601429

What OpenQuestion holds

Textmetadata
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.