Evidence map›Paper›PMID 23139761›Full record

ArticlePloS one2012

Protein fragments: functional and structural roles of their coevolution networks.

Linda Dib, Alessandra Carbone

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

16 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
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  4. Evolution and co-evolution: insights into the divergence of plant heat shock factor genes.Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
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  15. Design of Heteronuclear Metalloenzymes.Methods in enzymology · 2016
    Article
  16. 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

2 authors at 2 institutions in 1 country.

Linda DibUniversité Pierre et Marie Curie, UMR 7238, Équipe de Génomique Analytique, Paris, France.
Alessandra Carbone
Centre National de la Recherche Scientifique · FRSorbonne Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small protein fragments, and not just residues, can be used as basic building blocks to reconstruct networks of coevolved amino acids in proteins. Fragments often enter in physical contact one with the other and play a major biological role in the protein. The nature of these interactions might be multiple and spans beyond binding specificity, allosteric regulation and folding constraints. Indeed, coevolving fragments are indicators of important information explaining folding intermediates, peptide assembly, key mutations with known roles in genetic diseases, distinguished subfamily-dependent motifs and differentiated evolutionary pressures on protein regions. Coevolution analysis detects networks of fragments interaction and highlights a high order organization of fragments demonstrating the importance of studying at a deeper level this structure. We demonstrate that it can be applied to protein families that are highly conserved or represented by few sequences, enlarging in this manner, the class of proteins where coevolution analysis can be performed and making large-scale coevolution studies a feasible goal.

Indexed as

Evolution, MolecularProtein Interaction MapsAdenosine TriphosphatasesAmino Acid MotifsAmino AcidsAmino Acid SequenceAmyloid beta-PeptidesConserved SequenceModels, MolecularMolecular Sequence DataPeptide FragmentsProteinsProtein StabilityProtein Structure, TertiarySequence AlignmentAdenosine TriphosphatasesAmino AcidsAmyloid beta-PeptidesPeptide FragmentsProteins

Identifiers

PMID23139761
PMCPMC3489791
OpenAlexW2048454141

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.