Evidence map›Paper›PMID 22125474›Full record

ArticleJournal of chemical theory and computation2011

MSMBuilder2: Modeling Conformational Dynamics at the Picosecond to Millisecond Scale.

Kyle A Beauchamp, Gregory R Bowman, Thomas J Lane, Lutz Maibaum, Imran S Haque, Vijay S Pande

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 186 papers.

0numbers the graph read from it
0cells of the map it votes in
186citing 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

186 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. CaThe journal of physical chemistry. B · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Markov-Type State Models to Describe Non-Markovian Dynamics.Journal of chemical theory and computation · 2025
    Article
  11. Article
  12. Article
  13. Structural basis of transcription: RNA polymerase II substrate binding and metal coordination using a free-electron laser.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Uncertainties in Markov State Models of Small Proteins.Journal of chemical theory and computation · 2023
    Article
  20. Article

126 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

6 authors.

Kyle A BeauchampBiophysics Program, Stanford University, Stanford, CA.
Gregory R Bowman
Thomas J Lane
Lutz Maibaum
Imran S Haque
Vijay S Pande

Funding

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

Abstract

Markov State Models provide a framework for understanding the fundamental states and rates in the conformational dynamics of biomolecules. We describe an improved protocol for constructing Markov State Models from molecular dynamics simulations. The new protocol includes advances in clustering, data preparation, and model estimation; these improvements lead to significant increases in model accuracy, as assessed by the ability to recapitulate equilibrium and kinetic properties of reference systems. A high-performance implementation of this protocol, provided in MSMBuilder2, is validated on dynamics ranging from picoseconds to milliseconds.

Identifiers

PMID22125474
PMCPMC3224091

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.