Evidence map›Paper›PMID 20166738›Full record

ArticleThe journal of physical chemistry. A2010

Investigation of protein folding by coarse-grained molecular dynamics with the UNRES force field.

Gia G Maisuradze, Patrick Senet, Cezary Czaplewski, Adam Liwo, Harold A Scheraga

Abstract read
In one paragraph

Article in The journal of physical chemistry. A, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

  1. Progressive Backmapping of Highly Coarse-Grained Protein Models.bioRxiv : the preprint server for biology · 2026
    Article
  2. Review
  3. Article
  4. Bridging Scales: Coarse-Grained Protein Models in Computational Biology.Advances in experimental medicine and biology · 2026
    Review
  5. Analysis of proteins in the light of mutations.European biophysics journal : EBJ · 2024
    Review
  6. Article
  7. Article
  8. Review
  9. Mapping the configurational landscape and aggregation phase behavior of the tau protein fragment PHF6.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  10. Article
  11. Review
  12. Article
  13. Wild-TypeFrontiers in molecular biosciences · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Missense Mutations Modify the Conformational Ensemble of theFrontiers in molecular biosciences · 2021
    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

5 authors.

Gia G MaisuradzeBaker Laboratory of Chemistry and Chemical Biology, Cornell University, Ithaca, New York 14853-1301, USA.
Patrick Senet
Cezary Czaplewski
Adam Liwo
Harold A Scheraga

Funding

INTERNAL BONDIN IN PROTEINSR01GM014312 · NIGMS · CORNELL UNIVERSITY ITHACA · PI MAISURADZE, GIA, RACKOVSKY, SHALOM R · 1985 to 2021
$9.4M
NIGMS NIH HHS GM-14312NIGMS NIH HHS R01 GM014312
6 · The paper itself

Abstract

Coarse-grained molecular dynamics simulations offer a dramatic extension of the time-scale of simulations compared to all-atom approaches. In this article, we describe the use of the physics-based united-residue (UNRES) force field, developed in our laboratory, in protein-structure simulations. We demonstrate that this force field offers about a 4000-times extension of the simulation time scale; this feature arises both from averaging out the fast-moving degrees of freedom and reduction of the cost of energy and force calculations compared to all-atom approaches with explicit solvent. With massively parallel computers, microsecond folding simulation times of proteins containing about 1000 residues can be obtained in days. A straightforward application of canonical UNRES/MD simulations, demonstrated with the example of the N-terminal part of the B-domain of staphylococcal protein A (PDB code: 1BDD, a three-alpha-helix bundle), discerns the folding mechanism and determines kinetic parameters by parallel simulations of several hundred or more trajectories. Use of generalized-ensemble techniques, of which the multiplexed replica exchange method proved to be the most effective, enables us to compute thermodynamics of folding and carry out fully physics-based prediction of protein structure, in which the predicted structure is determined as a mean over the most populated ensemble below the folding-transition temperature. By using principal component analysis of the UNRES folding trajectories of the formin-binding protein WW domain (PDB code: 1E0L; a three-stranded antiparallel beta-sheet) and 1BDD, we identified representative structures along the folding pathways and demonstrated that only a few (low-indexed) principal components can capture the main structural features of a protein-folding trajectory; the potentials of mean force calculated along these essential modes exhibit multiple minima, as opposed to those along the remaining modes that are unimodal. In addition, a comparison between the structures that are representative of the minima in the free-energy profile along the essential collective coordinates of protein folding (computed by principal component analysis) and the free-energy profile projected along the virtual-bond dihedral angles gamma of the backbone revealed the key residues involved in the transitions between the different basins of the folding free-energy profile, in agreement with existing experimental data for 1E0L .

Indexed as

Molecular Dynamics SimulationProtein FoldingAlgorithmsAnimalsBacterial ProteinsCarrier ProteinsKineticsMiceModels, StatisticalPrincipal Component AnalysisProtein BindingProteinsProtein Structure, SecondaryRotationSolventsStaphylococcus aureusBacterial ProteinsCarrier ProteinsProteinsSolventsTcerg1 protein, mouseTranscriptional Elongation Factors

Identifiers

PMID20166738
PMCPMC2849147

What OpenQuestion holds

Textmetadata
LicenceTDM
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.