Evidence map›Paper›PMID 28915754›Full record

ArticleThe Journal of chemical physics2017

Modeling the mechanism of CLN025 beta-hairpin formation.

Keri A McKiernan, Brooke E Husic, Vijay S Pande

Abstract read
In one paragraph

Article in The Journal of chemical physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Markov State Models: To Optimize or Not to Optimize.Journal of chemical theory and computation · 2024
    Article
  5. Article
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  7. Article
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  10. Granger Causality Analysis of Chignolin Folding.Journal of chemical theory and computation · 2022
    Article
  11. Article
  12. Deep learning the slow modes for rare events sampling.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  13. Article
  14. Article
  15. TorchMD: A Deep Learning Framework for Molecular Simulations.Journal of chemical theory and computation · 2021
    Article
  16. Article
  17. Why Computed Protein Folding Landscapes Are Sensitive to the Water Model.Journal of chemical theory and computation · 2019
    Article
  18. Heterogeneity in the Folding of Villin Headpiece Subdomain HP36.The journal of physical chemistry. B · 2018
    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

3 authors.

Keri A McKiernanDepartment of Chemistry, Stanford University, Stanford, California 94305, USA.
Brooke E HusicDepartment of Chemistry, Stanford University, Stanford, California 94305, USA.ORCID 0000000280203750
Vijay S PandeDepartment of Chemistry, Stanford University, Stanford, California 94305, USA.

Funding

Topology, nucleation, and the protein folding barrierR01GM062868 · NIGMS · STANFORD UNIVERSITY · PI PANDE, VIJAY S · 2002 to 2018
$5.5M
NIGMS NIH HHS R01 GM062868
6 · The paper itself

Abstract

Beta-hairpins are substructures found in proteins that can lend insight into more complex systems. Furthermore, the folding of beta-hairpins is a valuable test case for benchmarking experimental and theoretical methods. Here, we simulate the folding of CLN025, a miniprotein with a beta-hairpin structure, at its experimental melting temperature using a range of state-of-the-art protein force fields. We construct Markov state models in order to examine the thermodynamics, kinetics, mechanism, and rate-determining step of folding. Mechanistically, we find the folding process is rate-limited by the formation of the turn region hydrogen bonds, which occurs following the downhill hydrophobic collapse of the extended denatured protein. These results are presented in the context of established and contradictory theories of the beta-hairpin folding process. Furthermore, our analysis suggests that the AMBER-FB15 force field, at this temperature, best describes the characteristics of the full experimental CLN025 conformational ensemble, while the AMBER ff99SB-ILDN and CHARMM22* force fields display a tendency to overstabilize the native state.

Indexed as

Models, ChemicalHydrophobic and Hydrophilic InteractionsMarkov ChainsMolecular Dynamics SimulationOligopeptidesProtein DenaturationProtein FoldingProtein Structure, SecondaryTransition TemperatureOligopeptidesYYDPETGTWY

Identifiers

PMID28915754
PMCPMC5597441

What OpenQuestion holds

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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.