Evidence map›Paper›PMID 21988563›Full record

ArticleJournal of the American Chemical Society2011

Markov state model reveals folding and functional dynamics in ultra-long MD trajectories.

Thomas J Lane, Gregory R Bowman, Kyle Beauchamp, Vincent A Voelz, Vijay S Pande

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Chemical Society, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
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

85 citing papers in PubMed, 175 citations in OpenAlex.

  1. Article
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  4. A FAIR-Compliant Management Solution for Molecular Simulation Trajectories.Journal of chemical information and modeling · 2025
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  7. A Stochastic Landscape Approach for Protein Folding State Classification.Journal of chemical theory and computation · 2024
    Article
  8. Information Bottleneck Approach for Markov Model Construction.Journal of chemical theory and computation · 2024
    Article
  9. Article
  10. Article
  11. Folding-upon-binding pathways of an intrinsically disordered protein from a deep Markov state model.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  12. Biomolecular dynamics in the 21st century.Biochimica et biophysica acta. General subjects · 2024
    Review
  13. Article
  14. Article
  15. Review
  16. Article
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  18. Article
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  20. Review

25 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

5 authors at 1 institution in 1 country.

Thomas J LaneDepartment of Chemistry, Stanford University, Stanford, California 94305, United States.
Gregory R Bowman
Kyle Beauchamp
Vincent A Voelz
Vijay S Pande
Stanford University · US

Funding

Topology, nucleation, and the protein folding barrierR01GM062868 · NIGMS · STANFORD UNIVERSITY · PI PANDE, VIJAY S · 2002 to 2018
$5.5M
NIGMS NIH HHS R01 GM062868NIGMS NIH HHS R01-GM062868
6 · The paper itself

Abstract

Two strategies have been recently employed to push molecular simulation to long, biologically relevant time scales: projection-based analysis of results from specialized hardware producing a small number of ultralong trajectories and the statistical interpretation of massive parallel sampling performed with Markov state models (MSMs). Here, we assess the MSM as an analysis method by constructing a Markov model from ultralong trajectories, specifically two previously reported 100 μs trajectories of the FiP35 WW domain (Shaw, D. E. Science 2010, 330, 341-346). We find that the MSM approach yields novel insights. It discovers new statistically significant folding pathways, in which either beta-hairpin of the WW domain can form first. The rates of this process approach experimental values in a direct quantitative comparison (time scales of 5.0 μs and 100 ns), within a factor of ∼2. Finally, the hub-like topology of the MSM and identification of a holo conformation predicts how WW domains may function through a conformational selection mechanism.

Indexed as

Models, ChemicalMolecular Dynamics SimulationMarkov ChainsModels, MolecularProtein FoldingProteinsProteins

Identifiers

PMID21988563
PMCPMC3227799
OpenAlexW1997108831

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.