Evidence map›Paper›PMID 25658850›Full record

ReviewCurrent opinion in structural biology2015

Structural and physico-chemical effects of disease and non-disease nsSNPs on proteins.

Tugba G Kucukkal, Marharyta Petukh, Lin Li, Emil Alexov

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers.

0numbers the graph read from it
0cells of the map it votes in
119citing 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

119 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Missense and Intronic Variants inInternational journal of medical sciences · 2026
    Article
  7. Article
  8. Article
  9. Delving Into the Depths ofHuman mutation · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

59 more citing papers are in PubMed but not listed here.

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.

Tugba G Kucukkal118 Kinard Laboratory, Department of Physics, Clemson University, Clemson, SC 29634-0978, USA.
Marharyta Petukh118 Kinard Laboratory, Department of Physics, Clemson University, Clemson, SC 29634-0978, USA.
Lin Li118 Kinard Laboratory, Department of Physics, Clemson University, Clemson, SC 29634-0978, USA.
Emil Alexov118 Kinard Laboratory, Department of Physics, Clemson University, Clemson, SC 29634-0978, USA. Electronic address: ealexov@clemson.edu.

Funding

New Generation DelPhi: large systems and beyond electrostaticsR01GM093937 · NIGMS · CLEMSON UNIVERSITY · PI ALEXOV, EMIL GEORGIEV · 2010 to 2023
$4.3M
NIGMS NIH HHS R01 GM093937NIGMS NIH HHS R01GM093937
6 · The paper itself

Abstract

This review emphasizes the effects of naturally occurring mutations on structural features and physico-chemical properties of proteins. The basic protein characteristics considered are stability, dynamics, and the binding of proteins and methods for assessing effects of mutations on these macromolecular characteristics are briefly outlined. It is emphasized that the above entities mostly reflect global characteristics of considered macromolecules, while given mutations may alter the local structural features such as salt bridges and hydrogen bonds without affecting the global ones. Furthermore, it is pointed out that disease-causing mutations frequently involve a drastic change of amino acid physico-chemical properties such as charge, hydrophobicity, and geometry, and are less surface exposed than polymorphic mutations.

Indexed as

MutationAnimalsGenetic Predisposition to DiseaseHumansModels, MolecularPolymorphism, Single NucleotideProtein BindingProtein ConformationProtein Interaction MapsProteinsProtein StabilityProteins

Identifiers

PMID25658850
PMCPMC4511717

What OpenQuestion holds

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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.