Evidence map›Paper›PMID 27453631›Full record

ArticleMolecular simulation

Unconstrained Enhanced Sampling for Free Energy Calculations of Biomolecules: A Review.

Yinglong Miao, J Andrew McCammon

Abstract read
In one paragraph

Article in Molecular simulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
10.3field-weighted citation impact, top 1% 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

70 citing papers in PubMed, 168 citations in OpenAlex.

  1. Article
  2. Enhanced Sampling and Free Energy Calculations in Protein Simulations.Advances in experimental medicine and biology · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Biomolecular dynamics in the 21st century.Biochimica et biophysica acta. General subjects · 2024
    Review
  10. Accelerating Molecular Dynamics Simulations for Drug Discovery.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Nitazoxanide Inhibits the Bifunctional Enzyme GlG6PD::6PGL ofInternational journal of molecular sciences · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

10 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

2 authors at 2 institutions in 1 country.

Yinglong MiaoHoward Hughes Medical Institute, University of California San Diego, La Jolla, CA 92093; Department of Pharmacology, University of California San Diego, La Jolla, CA 92093.
J Andrew McCammonHoward Hughes Medical Institute, University of California San Diego, La Jolla, CA 92093; Department of Pharmacology, University of California San Diego, La Jolla, CA 92093; Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA 92093.
Howard Hughes Medical Institute · USUniversity of California, San Diego · US

Funding

National Biomedical Computation Resource - Competitive Revision SupplementP41GM103426 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AMARO, ROMMIE E · 2012 to 2019
$14.0M
THEORY OF BIOMOLECULAR DIFFUSIONR01GM031749 · NIGMS · UNIVERSITY OF HOUSTON · PI HUBER, GARY ALEXANDER, MCCAMMON, JAMES ANDREW · 1985 to 2022
$7.8M
NIGMS NIH HHS P41 GM103426NIGMS NIH HHS R01 GM031749
6 · The paper itself

Abstract

Free energy calculations are central to understanding the structure, dynamics and function of biomolecules. Yet insufficient sampling of biomolecular configurations is often regarded as one of the main sources of error. Many enhanced sampling techniques have been developed to address this issue. Notably, enhanced sampling methods based on biasing collective variables (CVs), including the widely used umbrella sampling, adaptive biasing force and metadynamics, have been discussed in a recent excellent review (Abrams and Bussi, Entropy, 2014). Here, we aim to review enhanced sampling methods that do not require predefined system-dependent CVs for biomolecular simulations and as such do not suffer from the hidden energy barrier problem as encountered in the CV-biasing methods. These methods include, but are not limited to, replica exchange/parallel tempering, self-guided molecular/Langevin dynamics, essential energy space random walk and accelerated molecular dynamics. While it is overwhelming to describe all details of each method, we provide a summary of the methods along with the applications and offer our perspectives. We conclude with challenges and prospects of the unconstrained enhanced sampling methods for accurate biomolecular free energy calculations.

Indexed as

BiomoleculesEnhanced SamplingFree EnergyUnconstrained

Identifiers

PMID27453631
PMCPMC4955644
OpenAlexW2463238596

What OpenQuestion holds

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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.