Evidence map›Paper›PMID 23913991›Full record

ArticleAdvances in chemical physics2012

Efficient and Unbiased Sampling of Biomolecular Systems in the Canonical Ensemble: A Review of Self-Guided Langevin Dynamics.

Xiongwu Wu, Ana Damjanovic, Bernard R Brooks

Abstract read
In one paragraph

Article in Advances in chemical physics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Self-Guided Molecular Simulation Methods.International journal of molecular sciences · 2025
    Review
  2. Recent Developments in Amber Biomolecular Simulations.Journal of chemical information and modeling · 2025
    Article
  3. Self-Guided Molecular Simulation to Enhance Concerted Motion.International journal of molecular sciences · 2025
    Article
  4. Article
  5. Article
  6. Molecular dynamics simulations of lipid nanodiscs.Biochimica et biophysica acta. Biomembranes · 2018
    Article
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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

3 authors.

Xiongwu WuLaboratory of Computational Biology, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health(NIH), 5635 Fishers Lane, Room T900, Bethesda, MD 20892-9314.
Ana Damjanovic
Bernard R Brooks

Funding

Development Of Theoretical Methods For Studying Biological MacromoleculesZIAHL001051 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI BROOKS, BERNARD R · 2009 to 2025
$16.2M
Electrostatic effects of the native state ensembleR01GM073838 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI GARCIA-MORENO, BERTRAND · 2009 to 2012
$1.4M
Intramural NIH HHS Z99 HL999999NIGMS NIH HHS R01 GM073838
6 · The paper itself

Abstract

This review provides a comprehensive description of the self-guided Langevin dynamics (SGLD) and the self-guided molecular dynamics (SGMD) methods and their applications. Example systems are included to provide guidance on optimal application of these methods in simulation studies. SGMD/SGLD has enhanced ability to overcome energy barriers and accelerate rare events to affordable time scales. It has been demonstrated that with moderate parameters, SGLD can routinely cross energy barriers of 20 kT at a rate that molecular dynamics (MD) or Langevin dynamics (LD) crosses 10 kT barriers. The core of these methods is the use of local averages of forces and momenta in a direct manner that can preserve the canonical ensemble. The use of such local averages results in methods where low frequency motion "borrows" energy from high frequency degrees of freedom when a barrier is approached and then returns that excess energy after a barrier is crossed. This self-guiding effect also results in an accelerated diffusion to enhance conformational sampling efficiency. The resulting ensemble with SGLD deviates in a small way from the canonical ensemble, and that deviation can be corrected with either an on-the-fly or a post processing reweighting procedure that provides an excellent canonical ensemble for systems with a limited number of accelerated degrees of freedom. Since reweighting procedures are generally not size extensive, a newer method, SGLDfp, uses local averages of both momenta and forces to preserve the ensemble without reweighting. The SGLDfp approach is size extensive and can be used to accelerate low frequency motion in large systems, or in systems with explicit solvent where solvent diffusion is also to be enhanced. Since these methods are direct and straightforward, they can be used in conjunction with many other sampling methods or free energy methods by simply replacing the integration of degrees of freedom that are normally sampled by MD or LD.

Identifiers

PMID23913991
PMCPMC3731171

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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.