Evidence map›Paper›PMID 10077608›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America1999

The use of gene clusters to infer functional coupling.

R Overbeek, M Fonstein, M D'Souza, G D Pusch, N Maltsev

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 531 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
531citing papers in PubMed, 1 pooled it
–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

531 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Computational function prediction of bacteria and phage proteins.Microbiology and molecular biology reviews : MMBR · 2025
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471 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

5 authors.

R OverbeekMathematics and Computer Science Division, Argonne National Laboratory, 9700 S. Cass Avenue, Argonne, IL 60439-4844, USA. overbeek@mcs.anl.gov
M Fonstein
M D'Souza
G D Pusch
N Maltsev

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previously, we presented evidence that it is possible to predict functional coupling between genes based on conservation of gene clusters between genomes. With the rapid increase in the availability of prokaryotic sequence data, it has become possible to verify and apply the technique. In this paper, we extend our characterization of the parameters that determine the utility of the approach, and we generalize the approach in a way that supports detection of common classes of functionally coupled genes (e.g., transport and signal transduction clusters). Now that the analysis includes over 30 complete or nearly complete genomes, it has become clear that this approach will play a significant role in supporting efforts to assign functionality to the remaining uncharacterized genes in sequenced genomes.

Indexed as

Gene Expression Regulation, BacterialGenome, BacterialMultigene FamilyDatabases, FactualSequence Analysis, DNA

Identifiers

PMID10077608
PMCPMC15866

What OpenQuestion holds

Texttitle and abstract
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.