Evidence map›Paper›PMID 24490961›Full record

ArticleThe journal of physical chemistry. B2014

WExplore: hierarchical exploration of high-dimensional spaces using the weighted ensemble algorithm.

Alex Dickson, Charles L Brooks

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. BAD-NEUS: Rapidly converging trajectory stratification.The Journal of chemical physics · 2024
    Article
  7. Article
  8. Article
  9. Biomolecular dynamics in the 21st century.Biochimica et biophysica acta. General subjects · 2024
    Review
  10. How Robust Is the Ligand Binding Transition State?Journal of the American Chemical Society · 2023
    Article
  11. Review
  12. Article
  13. Article
  14. Uncertainties in Markov State Models of Small Proteins.Journal of chemical theory and computation · 2023
    Article
  15. Flexible Topology: A Dynamic Model of a Continuous Chemical Space.Journal of chemical theory and computation · 2023
    Article
  16. pyCHARMM: Embedding CHARMM Functionality in a Python Framework.Journal of chemical theory and computation · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. Weighted ensemble: Recent mathematical developments.The Journal of chemical physics · 2023
    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

2 authors.

Alex DicksonDepartment of Chemistry, University of Michigan , Ann Arbor, Michigan, United States.
Charles L Brooks

Funding

Theoretical Studies of Receptor-Ligand InteractionsR01GM037554 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROOKS, CHARLES L · 1987 to 2018
$3.8M
NIGMS NIH HHS R01 GM037554
6 · The paper itself

Abstract

As most relevant motions in biomolecular systems are inaccessible to conventional molecular dynamics simulations, algorithms that enhance sampling of rare events are indispensable. Increasing interest in intrinsically disordered systems and the desire to target ensembles of protein conformations (rather than single structures) in drug development motivate the need for enhanced sampling algorithms that are not limited to "two-basin" problems, and can efficiently determine structural ensembles. For systems that are not well-studied, this must often be done with little or no information about the dynamics of interest. Here we present a novel strategy to determine structural ensembles that uses dynamically defined sampling regions that are organized in a hierarchical framework. It is based on the weighted ensemble algorithm, where an ensemble of copies of the system ("replicas") is directed to new regions of configuration space through merging and cloning operations. The sampling hierarchy allows for a large number of regions to be defined, while using only a small number of replicas that can be balanced over multiple length scales. We demonstrate this algorithm on two model systems that are analytically solvable and examine the 10-residue peptide chignolin in explicit solvent. The latter system is analyzed using a configuration space network, and novel hydrogen bonds are found that facilitate folding.

Indexed as

AlgorithmsHydrogen BondingMarkov ChainsMolecular Dynamics SimulationOligopeptidesProtein FoldingSolventschignolinOligopeptidesSolvents

Identifiers

PMID24490961
PMCPMC4404516

What OpenQuestion holds

Textmetadata
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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.