Evidence map›Paper›PMID 23237705›Full record

ReviewCurrent opinion in structural biology2013

To milliseconds and beyond: challenges in the simulation of protein folding.

Thomas J Lane, Diwakar Shukla, Kyle A Beauchamp, Vijay S Pande

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 148 papers.

0numbers the graph read from it
0cells of the map it votes in
148citing 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

148 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. De novo Folding Mechanisms of Lasso Peptides.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Article
  8. Resolving Molecular Interactions in Protein Folding Trajectories with NCIPLOT.Journal of chemical information and modeling · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Integrative spatiotemporal modeling of biomolecular processes: Application to the assembly of the nuclear pore complex.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  14. Article
  15. Molecular Crowding by Computational Approaches.Sub-cellular biochemistry · 2025
    Review
  16. Article
  17. Article
  18. Review
  19. One bead per residue can describe all-atom protein structures.Structure (London, England : 1993) · 2024
    Article
  20. Article

88 more citing papers are in PubMed but not listed here.

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

4 authors.

Thomas J LaneDepartment of Chemistry, Stanford University, United States.
Diwakar Shukla
Kyle A Beauchamp
Vijay S Pande

Funding

Physics-based Simulation of Biological Structures(RMI)U54GM072970 · NIGMS · STANFORD UNIVERSITY · PI ALTMAN, RUSS BIAGIO · 2004 to 2013
$33.5M
Topology, nucleation, and the protein folding barrierR01GM062868 · NIGMS · STANFORD UNIVERSITY · PI PANDE, VIJAY S · 2002 to 2018
$5.5M
Retropositional or Repressor Machinery of SINEs &LINEsR15GM062828 · NIGMS · EASTERN MICHIGAN UNIVERSITY · PI KASS, DAVID H · 2002 to 2002
$132k
NIGMS NIH HHS R01 GM062868NIGMS NIH HHS R01GM62828NIGMS NIH HHS R15 GM062828NIGMS NIH HHS U54 GM072970
6 · The paper itself

Abstract

Quantitatively accurate all-atom molecular dynamics (MD) simulations of protein folding have long been considered a holy grail of computational biology. Due to the large system sizes and long timescales involved, such a pursuit was for many years computationally intractable. Further, sufficiently accurate forcefields needed to be developed in order to realistically model folding. This decade, however, saw the first reports of folding simulations describing kinetics on the order of milliseconds, placing many proteins firmly within reach of these methods. Progress in sampling and forcefield accuracy, however, presents a new challenge: how to turn huge MD datasets into scientific understanding. Here, we review recent progress in MD simulation techniques and show how the vast datasets generated by such techniques present new challenges for analysis. We critically discuss the state of the art, including reaction coordinate and Markov state model (MSM) methods, and provide a perspective for the future.

Indexed as

Molecular Dynamics SimulationProtein FoldingKineticsProteinsProteins

Identifiers

PMID23237705
PMCPMC3673555

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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.