Evidence map›Paper›PMID 24811667›Full record

ArticleThe Journal of chemical physics2014

Investigations of α-helix↔β-sheet transition pathways in a miniprotein using the finite-temperature string method.

Victor Ovchinnikov, Martin Karplus

Abstract read
In one paragraph

Article in The Journal of chemical physics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Surface-Accelerated String Method for Locating Minimum Free Energy Paths.Journal of chemical theory and computation · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Hierarchical Markov State Model Building to Describe Molecular Processes.Journal of chemical theory and computation · 2020
    Article
  8. Article
  9. The allosteric switching mechanism in bacteriophage MS2.The Journal of chemical physics · 2016
    Article
  10. Review
  11. Article
  12. 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

2 authors.

Victor OvchinnikovDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, USA.
Martin KarplusDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A parallel implementation of the finite-temperature string method is described, which takes into account the invariance of coordinates with respect to rigid-body motions. The method is applied to the complex α-helix↔β-sheet transition in a β-hairpin miniprotein in implicit solvent, which exhibits much of the complexity of conformational changes in proteins. Two transition paths are considered, one derived from a linear interpolant between the endpoint structures and the other derived from a targeted dynamics simulation. Two methods for computing the conformational free energy (FE) along the string are compared, a restrained method, and a tessellation method introduced by E. Vanden-Eijnden and M. Venturoli [J. Chem. Phys. 130, 194103 (2009)]. It is found that obtaining meaningful free energy profiles using the present atom-based coordinates requires restricting sampling to a vicinity of the converged path, where the hyperplanar approximation to the isocommittor surface is sufficiently accurate. This sampling restriction can be easily achieved using restraints or constraints. The endpoint FE differences computed from the FE profiles are validated by comparison with previous calculations using a path-independent confinement method. The FE profiles are decomposed into the enthalpic and entropic contributions, and it is shown that the entropy difference contribution can be as large as 10 kcal/mol for intermediate regions along the path, compared to 15-20 kcal/mol for the enthalpy contribution. This result demonstrates that enthalpic barriers for transitions are offset by entropic contributions arising from the existence of different paths across a barrier. The possibility of using systematically coarse-grained representations of amino acids, in the spirit of multiple interaction site residue models, is proposed as a means to avoid ad hoc sampling restrictions to narrow transition tubes.

Indexed as

Protein Structure, SecondaryThermodynamicsEntropyHydrogen BondingMolecular Dynamics SimulationPeptidesSolventsTemperaturePeptidesSolvents

Identifiers

PMID24811667
PMCPMC4032436

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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.