Evidence map›Paper›PMID 18053141›Full record

ArticleBMC evolutionary biology2007

Detecting groups of coevolving positions in a molecule: a clustering approach.

Julien Dutheil, Nicolas Galtier

Open access · goldAbstract read
In one paragraph

Article in BMC evolutionary biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

27 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. PHACE: Phylogeny-Aware Detection of Molecular Coevolution.Molecular biology and evolution · 2025
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  5. Network of epistatic interactions in an enzyme active site revealed by large-scale deep mutational scanning.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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  10. Covariation Is a Poor Measure of Molecular Coevolution.Molecular biology and evolution · 2015
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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

2 authors at 2 institutions in 1 country.

Julien DutheilInstitut des Sciences de l'Evolution (UM2-CNRS) Université Montpellier 2 Place Eugéne Bataillon, CC064, 34 095 Montpellier cedex 5, France. julien.dutheil@univ-montp2.fr
Nicolas Galtier
Institut des Sciences de l'Evolution de Montpellier · FRUniversité de Montpellier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the patterns of co-substitutions in RNA is now well characterized, detection of coevolving positions in proteins remains a difficult task. It has been recognized that the signal is typically weak, due to the fact that (i) amino-acid are characterized by various biochemical properties, so that distinct amino acids changes are not functionally equivalent, and (ii) a given mutation can be compensated by more than one mutation, at more than one position.

resultsWe present a new method based on phylogenetic substitution mapping. The two above-mentioned problems are addressed by (i) the introduction of a weighted mapping, which accounts for the biochemical effects (volume, polarity, charge) of amino-acid changes, (ii) the use of a clustering approach to detect groups of coevolving sites of virtually any size, and (iii) the distinction between biochemical compensation and other coevolutionary mechanisms. We apply this methodology to a previously studied data set of bacterial ribosomal RNA, and to three protein data sets (myoglobin of vertebrates, S-locus Receptor Kinase and Methionine Amino-Peptidase).

conclusionWe succeed in detecting groups of sites which significantly depart the null hypothesis of independence. Group sizes range from pairs to groups of size approximately 10, depending on the substitution weights used. The structural and functional relevance of these groups of sites are assessed, and the various evolutionary processes potentially generating correlated substitution patterns are discussed.

Indexed as

Evolution, MolecularModels, GeneticPhylogenyAmino Acid SequenceAmino Acid SubstitutionAminopeptidasesAnimalsCluster AnalysisMarkov ChainsMethionyl AminopeptidasesMyoglobinPlant ProteinsProtein KinasesRNA, BacterialRNA, RibosomalSequence AlignmentAminopeptidasesMethionyl AminopeptidasesMyoglobinPlant ProteinsProtein KinasesRNA, BacterialRNA, RibosomalS-receptor kinase

Identifiers

PMID18053141
PMCPMC2248193
OpenAlexW2005440855

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LicenceCC BY
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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.