Evidence map›Paper›PMID 27602721›Full record

ArticleBiophysical journal2016

Structure-Based Prediction of Protein-Folding Transition Paths.

William M Jacobs, Eugene I Shakhnovich

Abstract read
In one paragraph

Article in Biophysical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Cotranslational folding allows misfolding-prone proteins to circumvent deep kinetic traps.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  12. Article
  13. Protein folding transition path times from single molecule FRET.Current opinion in structural biology · 2018
    Review
  14. Article
  15. Evidence of evolutionary selection for cotranslational folding.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  16. Folding Proteins One Loop at a Time.Biophysical journal · 2016
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

William M JacobsDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts.
Eugene I ShakhnovichDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts. Electronic address: shakhnovich@chemistry.harvard.edu.

Funding

Study of Biological Evolution of Structure and Function in ProteinsR01GM068670 · NIGMS · HARVARD UNIVERSITY · PI SHAKHNOVICH, EUGENE I · 2004 to 2020
$7.0M
Study of phenotypic and fitness effects of non-functional protein interactions inR01GM111955 · NIGMS · HARVARD UNIVERSITY · PI SHAKHNOVICH, EUGENE I · 2014 to 2017
$1.4M
Kinetics of macromolecular complex assembly and regulationF32GM116231 · NIGMS · HARVARD UNIVERSITY · PI JACOBS, WILLIAM MONROE · 2016 to 2017
$112k
NIGMS NIH HHS F32 GM116231NIGMS NIH HHS R01 GM068670NIGMS NIH HHS R01 GM111955
6 · The paper itself

Abstract

We propose a general theory to describe the distribution of protein-folding transition paths. We show that transition paths follow a predictable sequence of high-free-energy transient states that are separated by free-energy barriers. Each transient state corresponds to the assembly of one or more discrete, cooperative units, which are determined directly from the native structure. We show that the transition state on a folding pathway is reached when a small number of critical contacts are formed between a specific set of substructures, after which folding proceeds downhill in free energy. This approach suggests a natural resolution for distinguishing parallel folding pathways and provides a simple means to predict the rate-limiting step in a folding reaction. Our theory identifies a common folding mechanism for proteins with diverse native structures and establishes general principles for the self-assembly of polymers with specific interactions.

Indexed as

Models, MolecularProtein FoldingAlgorithmsKineticsProtein StabilityStructure-Activity RelationshipThermodynamics

Identifiers

PMID27602721
PMCPMC5018131

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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.