Evidence map›Paper›PMID 27038125›Full record

ArticleProtein science : a publication of the Protein Society2016

Disorder transitions and conformational diversity cooperatively modulate biological function in proteins.

Diego Javier Zea, Alexander Miguel Monzon, Claudia Gonzalez, María Silvina Fornasari, Silvio C E Tosatto, Gustavo Parisi

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Homology modeling in a dynamical world.Protein science : a publication of the Protein Society · 2017
    Article
  10. 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

6 authors.

Diego Javier ZeaStructural Bioinformatics Group, Department of Science and Technology, National University of Quilmes, Argentina.
Alexander Miguel MonzonStructural Bioinformatics Group, Department of Science and Technology, National University of Quilmes, Argentina.
Claudia GonzalezStructural Bioinformatics Group, Department of Science and Technology, National University of Quilmes, Argentina.
María Silvina FornasariStructural Bioinformatics Group, Department of Science and Technology, National University of Quilmes, Argentina.
Silvio C E TosattoBiocomputing up, Department of Biomedical Sciences, University of Padova, Italy.
Gustavo ParisiStructural Bioinformatics Group, Department of Science and Technology, National University of Quilmes, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural differences between conformers sustain protein biological function. Here, we studied in a large dataset of 745 intrinsically disordered proteins, how ordered-disordered transitions modulate structural differences between conformers as derived from crystallographic data. We found that almost 50% of the proteins studied show no transitions and have low conformational diversity while the rest show transitions and a higher conformational diversity. In this last subset, 60% of the proteins become more ordered after ligand binding, while 40% more disordered. As protein conformational diversity is inherently connected with protein function our analysis suggests differences in structure-function relationships related to order-disorder transitions.

Indexed as

Databases, ProteinIntrinsically Disordered ProteinsProtein ConformationIntrinsically Disordered Proteinsconformational diversitydisorderprotein functiontransitions

Identifiers

PMID27038125
PMCPMC4941770

What OpenQuestion holds

Textmetadata
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Registered trials

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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.