Evidence map›Paper›PMID 21297873›Full record

ArticleNature physics2010

Challenges in protein folding simulations: Timescale, representation, and analysis.

Lydia Freddolino, Christopher B Harrison, Yanxin Liu, Klaus Schulten

Abstract read
In one paragraph

Article in Nature physics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers.

0numbers the graph read from it
0cells of the map it votes in
110citing 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

110 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. BioEmu: AI-Powered Revolution in Scalable Protein Dynamics Simulation.Journal of cellular and molecular medicine · 2025
    Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Implementation of Telescoping Boxes in Adaptive Steered Molecular Dynamics.Journal of chemical theory and computation · 2022
    Article
  17. Review
  18. Article
  19. Article
  20. Granger Causality Analysis of Chignolin Folding.Journal of chemical theory and computation · 2022
    Article

50 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.

Lydia FreddolinoBeckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL 61801.
Christopher B HarrisonBeckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL 61801.
Yanxin LiuBeckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL 61801.
Klaus SchultenBeckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL 61801.

Funding

WHOLE CELL SIMULATIONP41RR005969 · NCRR · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI STONE, JOHN H · 1990 to 2011
$19.8M
NCRR NIH HHS P41 RR005969
6 · The paper itself

Abstract

Experimental studies of protein folding processes are frequently hampered by the fact that only low resolution structural data can be obtained with sufficient temporal resolution. Molecular dynamics simulations offer a complementary approach, providing extremely high resolution spatial and temporal data on folding processes. The effectiveness of such simulations is currently hampered by continuing questions regarding the ability of molecular dynamics force fields to reproduce the true potential energy surfaces of proteins, and ongoing difficulties with obtaining sufficient sampling to meaningfully comment on folding mechanisms. We review recent progress in the simulation of three common model systems for protein folding, and discuss how recent advances in technology and theory are allowing protein folding simulations to address their current shortcomings.

Identifiers

PMID21297873
PMCPMC3032381

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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.