Evidence map›Paper›PMID 27905547›Full record

ArticleScientific reports2016

In silico Mapping of Protein Unfolding Mutations for Inherited Disease.

Caitlyn L McCafferty, Yuri V Sergeev

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Genetic mutations disrupt the coordinated mode of tyrosinase's intra-melanosomal domain.Protein science : a publication of the Protein Society · 2025
    Article
  5. Human recombinant tyrosinase destabilization caused by the double mutation R217Q/R402Q.Protein science : a publication of the Protein Society · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Homology modeling and global computational mutagenesis of human myosin VIIa.Journal of analytical & pharmaceutical research · 2021
    Article
  16. Article
  17. FunctionalJournal of analytical & pharmaceutical research · 2020
    Article
  18. Article
  19. Article
  20. 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 1 institution in 1 country.

Caitlyn L McCaffertyOphthalmic Genetics and Visual Function Branch, National Eye Institute, NIH, Bethesda Maryland, 20892, USA.
Yuri V SergeevOphthalmic Genetics and Visual Function Branch, National Eye Institute, NIH, Bethesda Maryland, 20892, USA.
National Eye Institute · US

Funding

Proteins From Hereditary Eye Diseases: In-silico and Experimental StudiesZIAEY000476 · NEI · NATIONAL EYE INSTITUTE · PI SERGEEV, YURI · 2009 to 2025
$16.8M
6 · The paper itself

Abstract

The effect of disease-causing missense mutations on protein folding is difficult to evaluate. To understand this relationship, we developed the unfolding mutation screen (UMS) for in silico evaluation of the severity of genetic perturbations at the atomic level of protein structure. The program takes into account the protein-unfolding curve and generates propensities using calculated free energy changes for every possible missense mutation at once. These results are presented in a series of unfolding heat maps and a colored protein 3D structure to show the residues critical to the protein folding and are available for quick reference. UMS was tested with 16 crystal structures to evaluate the unfolding for 1391 mutations from the ProTherm database. Our results showed that the computational accuracy of the unfolding calculations was similar to the accuracy of previously published free energy changes but provided a better scale. Our residue identity control helps to improve protein homology models. The unfolding predictions for proteins involved in age-related macular degeneration, retinitis pigmentosa, and Leber's congenital amaurosis matched well with data from previous studies. These results suggest that UMS could be a useful tool in the analysis of genotype-to-phenotype associations and next-generation sequencing data for inherited diseases.

Indexed as

AlgorithmsProtein Unfoldingcis-trans-IsomerasesComputer SimulationHumansLeber Congenital AmaurosisMacular DegenerationMutation, MissenseProtein ConformationRetinitis PigmentosaRetinoid IsomerohydrolaseRhodopsinWorkflowcis-trans-IsomerasesRetinoid IsomerohydrolaseRhodopsin

Identifiers

PMID27905547
PMCPMC5131339
OpenAlexW2558013981

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.