Evidence map›Paper›PMID 26322316›Full record

ArticleFrontiers in molecular biosciences2015

Anatomy of protein disorder, flexibility and disease-related mutations.

Hui-Chun Lu, Sun Sook Chung, Arianna Fornili, Franca Fraternali

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2015. 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
–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

14 citing papers in PubMed.

  1. Pathogenicity Prediction of Missense Variations in Hereditary Cancer Genes.International journal of molecular sciences · 2026
    Article
  2. Review
  3. AFFIPred: AlphaFold2 structure-based Functional Impact Prediction of missense variations.Protein science : a publication of the Protein Society · 2025
    Article
  4. Article
  5. Modulation of p53 Transactivation Domain Conformations by Ligand Binding and Cancer-Associated Mutations.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2020
    Article
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  7. 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.

Hui-Chun LuRandall Division of Cell and Molecular Biophysics, King's College London London, UK.
Sun Sook ChungRandall Division of Cell and Molecular Biophysics, King's College London London, UK ; Department of Haematological Medicine, King's College London London, UK.
Arianna ForniliRandall Division of Cell and Molecular Biophysics, King's College London London, UK ; School of Biological and Chemical Sciences, Queen Mary University of London London, UK.
Franca FraternaliRandall Division of Cell and Molecular Biophysics, King's College London London, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/H018409/1British Heart Foundation FS/12/41/29724Medical Research Council MR/L01257X/1
6 · The paper itself

Abstract

Integration of protein structural information with human genetic variation and pathogenic mutations is essential to understand molecular mechanisms associated with the effects of polymorphisms on protein interactions and cellular processes. We investigate occurrences of non-synonymous SNPs in ordered and disordered protein regions by systematic mapping of common variants and disease-related SNPs onto these regions. We show that common variants accumulate in disordered regions; conversely pathogenic variants are significantly depleted in disordered regions. These different occurrences of pathogenic and common SNPs can be attributed to a negative selection on random mutations in structurally highly constrained regions. New approaches in the study of quantitative effects of pathogenic-related mutations should effectively account for all the possible contexts and relative functional constraints in which the sequence variation occurs.

Indexed as

disease-related mutationsnon-synonymous SNPsorder-disorder propensityprotein disorderprotein flexibility

Identifiers

PMID26322316
PMCPMC4532925

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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.