Evidence map›Paper›PMID 20418505›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2010

Insights into protein folding mechanisms from large scale analysis of mutational effects.

Athi N Naganathan, Victor Muñoz

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

56 citing papers in PubMed, 105 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. PON-Fold: Prediction of Substitutions Affecting Protein Folding Rate.International journal of molecular sciences · 2023
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Predicting and Simulating Mutational Effects on Protein Folding Kinetics.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  11. Article
  12. Mutational Analysis of Protein Folding Transition States: Phi Values.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  13. Article
  14. Article
  15. Cooperative hydrophobic core interactions in the β-trefoil architecture.Protein science : a publication of the Protein Society · 2021
    Article
  16. Templated folding of intrinsically disordered proteins.The Journal of biological chemistry · 2020
    Review
  17. Article
  18. Article
  19. Ultrafast folding kinetics of WW domains reveal how the amino acid sequence determines the speed limit to protein folding.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  20. Review
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 2 institutions in 2 countries.

Athi N NaganathanCentro de Investigaciones Biológicas, Consejo Superior de Investigaciones Científicas, Ramiro de Maeztu 9, Madrid 28040, Spain.
Victor Muñoz
Centro de Investigaciones Biológicas Margarita Salas · ESUniversity of Maryland, College Park · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein folding mechanisms are probed experimentally using single-point mutant perturbations. The relative effects on the folding (phi-values) and unfolding (1 - phi) rates are used to infer the detailed structure of the transition-state ensemble (TSE). Here we analyze kinetic data on > 800 mutations carried out for 24 proteins with simple kinetic behavior. We find two surprising results: (i) all mutant effects are described by the equation: DeltaDeltaG(double dagger)(unfold)=0.76DeltaDeltaG(eq) +/- 1.8kJ/mol. Therefore all data are consistent with a single phi-value (0.24) with accuracy comparable to experimental precision, suggesting that the structural information in conventional phi-values is low. (ii) phi-values change with stability, increasing in mean value and spread from native to unfolding conditions, and thus cannot be interpreted without proper normalization. We eliminate stability effects calculating the phi-values at the mutant denaturation midpoints; i.e., conditions of zero stability (phi(0)). We then show that the intrinsic variability is phi(0) = 0.36 +/- 0.11, being somewhat larger for beta-sheet-rich proteins than for alpha-helical proteins. Importantly, we discover that phi(0)-values are proportional to how many of the residues surrounding the mutated site are local in sequence. High phi(0)-values correspond to protein surface sites, which have few nonlocal neighbors, whereas core residues with many tertiary interactions produce the lowest phi(0)-values. These results suggest a general mechanism in which the TSE at zero stability is a broad conformational ensemble stabilized by local interactions and without specific tertiary interactions, reconciling phi-values with many other empirical observations.

Indexed as

Protein FoldingDatabases, ProteinMutationProteinsProtein StabilityProtein Structure, SecondaryProteins

Identifiers

PMID20418505
PMCPMC2889297
OpenAlexW2084638727

What OpenQuestion holds

Textmetadata
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.