Evidence map›Paper›PMID 27965389›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Conservation of coevolving protein interfaces bridges prokaryote-eukaryote homologies in the twilight zone.

Juan Rodriguez-Rivas, Simone Marsili, David Juan, Alfonso Valencia

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 40 citations in OpenAlex.

  1. Review
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  8. Predicted Structural Variability ofFrontiers in microbiology · 2020
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  12. Review
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  14. Large-scale identification of coevolution signals across homo-oligomeric protein interfaces by direct coupling analysis.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
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

4 authors at 1 institution in 1 country.

Juan Rodriguez-RivasStructural Biology and Biocomputing Programme, Spanish National Cancer Research Centre, 28029 Madrid, Spain.
Simone MarsiliStructural Biology and Biocomputing Programme, Spanish National Cancer Research Centre, 28029 Madrid, Spain simo.marsili@gmail.com dadejuan@cnio.es.
David JuanStructural Biology and Biocomputing Programme, Spanish National Cancer Research Centre, 28029 Madrid, Spain simo.marsili@gmail.com dadejuan@cnio.es.
Alfonso ValenciaStructural Biology and Biocomputing Programme, Spanish National Cancer Research Centre, 28029 Madrid, Spain.
Spanish National Cancer Research Centre · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-protein interactions are fundamental for the proper functioning of the cell. As a result, protein interaction surfaces are subject to strong evolutionary constraints. Recent developments have shown that residue coevolution provides accurate predictions of heterodimeric protein interfaces from sequence information. So far these approaches have been limited to the analysis of families of prokaryotic complexes for which large multiple sequence alignments of homologous sequences can be compiled. We explore the hypothesis that coevolution points to structurally conserved contacts at protein-protein interfaces, which can be reliably projected to homologous complexes with distantly related sequences. We introduce a domain-centered protocol to study the interplay between residue coevolution and structural conservation of protein-protein interfaces. We show that sequence-based coevolutionary analysis systematically identifies residue contacts at prokaryotic interfaces that are structurally conserved at the interface of their eukaryotic counterparts. In turn, this allows the prediction of conserved contacts at eukaryotic protein-protein interfaces with high confidence using solely mutational patterns extracted from prokaryotic genomes. Even in the context of high divergence in sequence (the twilight zone), where standard homology modeling of protein complexes is unreliable, our approach provides sequence-based accurate information about specific details of protein interactions at the residue level. Selected examples of the application of prokaryotic coevolutionary analysis to the prediction of eukaryotic interfaces further illustrate the potential of this approach.

Indexed as

Evolution, MolecularMutationBiological EvolutionCatalytic DomainComputational BiologyDatabases, ProteinEukaryotaHumansModels, StatisticalProkaryotic CellsProtein BindingProtein Interaction MappingProtein MultimerizationProteinsReproducibility of ResultsSequence AlignmentProteinscoevolutioncontact predictionhomology modelingprotein complexprotein–protein interaction

Identifiers

PMID27965389
PMCPMC5206536
OpenAlexW2949425512

What OpenQuestion holds

Textmetadata
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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.