Evidence map›Paper›PMID 25546381›Full record

ArticleProteins2015

Conformational dynamics of nonsynonymous variants at protein interfaces reveals disease association.

Brandon M Butler, Z Nevin Gerek, Sudhir Kumar, S Banu Ozkan

Abstract read
In one paragraph

Article in Proteins, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Engineering gain-of-function mutants of a WW domain by dynamics and structural analysis.Protein science : a publication of the Protein Society · 2023
    Article
  9. Allosteric regulatory control in dihydrofolate reductase is revealed by dynamic asymmetry.Protein science : a publication of the Protein Society · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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  18. Article
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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

4 authors.

Brandon M ButlerDepartment of Physics, Arizona State University, Tempe, Arizona.
Z Nevin Gerek
Sudhir Kumar
S Banu Ozkan

Funding

COMPARATIVE MOLECULAR SEQUENCE ANALYSISR01HG002096 · NHGRI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI KUMAR, SUDHIR · 2000 to 2013
$3.0M
Computational diagnosis of non-synonymous variations using structural dynamicsR21LM011941 · NLM · TEMPLE UNIV OF THE COMMONWEALTH · PI GEREK INCE, ZEYNEP NEVIN · 2014 to 2015
$404k
NHGRI NIH HHS HG002096-12NHGRI NIH HHS R01 HG002096NLM NIH HHS LM01194101NLM NIH HHS R21 LM011941PHS HHS GN0945999
6 · The paper itself

Abstract

Recent studies have shown that the protein interface sites between individual monomeric units in biological assemblies are enriched in disease-associated non-synonymous single nucleotide variants (nsSNVs). To elucidate the mechanistic underpinning of this observation, we investigated the conformational dynamic properties of protein interface sites through a site-specific structural dynamic flexibility metric (dfi) for 333 multimeric protein assemblies. dfi measures the dynamic resilience of a single residue to perturbations that occurred in the rest of the protein structure and identifies sites contributing the most to functionally critical dynamics. Analysis of dfi profiles of over a thousand positions harboring variation revealed that amino acid residues at interfaces have lower average dfi (31%) than those present at non-interfaces (50%), which means that protein interfaces have less dynamic flexibility. Interestingly, interface sites with disease-associated nsSNVs have significantly lower average dfi (23%) as compared to those of neutral nsSNVs (42%), which directly relates structural dynamics to functional importance. We found that less conserved interface positions show much lower dfi for disease nsSNVs as compared to neutral nsSNVs. In this case, dfi is better as compared to the accessible surface area metric, which is based on the static protein structure. Overall, our proteome-wide conformational dynamic analysis indicates that certain interface sites play a critical role in functionally related dynamics (i.e., those with low dfi values), therefore mutations at those sites are more likely to be associated with disease.

Indexed as

Polymorphism, Single NucleotideProtein ConformationDatabases, ProteinDiseaseHumansModels, MolecularPliabilityProteinsProteomicsSurface PropertiesProteinsconformational dynamicsdynamic flexibilityelastic network modelevolutionary conservationinterfaceslinear response theoryperturbation response scanningphenotypic predictionprotein-protein interactionssingle nucleotide polymorphisms

Identifiers

PMID25546381
PMCPMC4505818

What OpenQuestion holds

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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.