Evidence map›Paper›PMID 27160393›Full record

ReviewJournal of computer-aided molecular design2016

Computational approaches for predicting mutant protein stability.

Shweta Kulshreshtha, Vigi Chaudhary, Girish K Goswami, Nidhi Mathur

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of computer-aided molecular design, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Insight into Protein Engineering: FromCurrent pharmaceutical design · 2025
    Review
  5. Article
  6. Article
  7. Analysis of proteins in the light of mutations.European biophysics journal : EBJ · 2024
    Review
  8. Article
  9. Article
  10. High-throughput system for the thermostability analysis of proteins.Protein science : a publication of the Protein Society · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Stability and expression of SARS-CoV-2 spike-protein mutations.Molecular and cellular biochemistry · 2023
    Article
  17. 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

4 authors.

Shweta KulshreshthaAmity Institute of Biotechnology, Amity University Rajasthan, 14-Gopal Bari, Ajmer Road, Jaipur, 302006, India. shweta_kulshreshtha@rediffmail.com.
Vigi ChaudharyAmity Institute of Biotechnology, Amity University Rajasthan, 14-Gopal Bari, Ajmer Road, Jaipur, 302006, India.
Girish K GoswamiC U Shah Institute of Life Sciences, C U Shah University, Wadhwan City, Surendranagar, Gujarat, 363030, India.
Nidhi MathurAmity Institute of Biotechnology, Amity University Rajasthan, 14-Gopal Bari, Ajmer Road, Jaipur, 302006, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutations in the protein affect not only the structure of protein, but also its function and stability. Prediction of mutant protein stability with accuracy is desired for uncovering the molecular aspects of diseases and design of novel proteins. Many advanced computational approaches have been developed over the years, to predict the stability and function of a mutated protein. These approaches based on structure, sequence features and combined features (both structure and sequence features) provide reasonably accurate estimation of the impact of amino acid substitution on stability and function of protein. Recently, consensus tools have been developed by incorporating many tools together, which provide single window results for comparison purpose. In this review, a useful guide for the selection of tools that can be employed in predicting mutated proteins' stability and disease causing capability is provided.

Indexed as

Protein StabilityAlgorithmsAmino Acid SubstitutionComputational BiologyMutant ProteinsMutationSequence Analysis, ProteinMutant ProteinsComputational toolsDatabasesMutated proteinProtein functionProtein stability

Identifiers

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.