Evidence map›Paper›PMID 20441734›Full record

ArticleBiophysical journal2010

Linking well-tempered metadynamics simulations with experiments.

Alessandro Barducci, Massimiliano Bonomi, Michele Parrinello

Abstract read
In one paragraph

Article in Biophysical journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
  2. Nature communications · 2026
    Article
  3. Review
  4. Article
  5. Optimizing Stability in Dynamic Small-Molecule Binding Proteins.Journal of the American Chemical Society · 2026
    Article
  6. Article
  7. Article
  8. Molecular View on theJournal of chemical information and modeling · 2023
    Article
  9. Article
  10. Molecular dynamics studies reveal structural and functional features of the SARS-CoV-2 spike protein.BioEssays : news and reviews in molecular, cellular and developmental biology · 2022
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. The allosteric switching mechanism in bacteriophage MS2.The Journal of chemical physics · 2016
    Article
  18. Using Markov state models to study self-assembly.The Journal of chemical physics · 2014
    Article
  19. Article
  20. Free-energy landscape of protein oligomerization from atomistic simulations.Proceedings of the National Academy of Sciences of the United States of America · 2013
    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.

Alessandro BarducciComputational Science, Department of Chemistry and Applied Biosciences, ETH Zurich, USI Campus, Lugano, Switzerland. alessandro.barducci@phys.chem.ethz.ch
Massimiliano Bonomi
Michele Parrinello

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Linking experiments with the atomistic resolution provided by molecular dynamics simulations can shed light on the structure and dynamics of protein-disordered states. The sampling limitations of classical molecular dynamics can be overcome using metadynamics, which is based on the introduction of a history-dependent bias on a small number of suitably chosen collective variables. Even if such bias distorts the probability distribution of the other degrees of freedom, the equilibrium Boltzmann distribution can be reconstructed using a recently developed reweighting algorithm. Quantitative comparison with experimental data is thus possible. Here we show the potential of this combined approach by characterizing the conformational ensemble explored by a 13-residue helix-forming peptide by means of a well-tempered metadynamics/parallel tempering approach and comparing the reconstructed nuclear magnetic resonance scalar couplings with experimental data.

Indexed as

Molecular Dynamics SimulationMagnetic Resonance SpectroscopyPeptide FragmentsProtein ConformationReproducibility of ResultsRibonuclease, PancreaticThermodynamicsPeptide FragmentsRibonuclease, Pancreatic

Identifiers

PMID20441734
PMCPMC2862196

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.