Evidence map›Paper›PMID 26722879›Full record

ArticleThe journal of physical chemistry letters2015

A Stochastic Solution to the Unbinned WHAM Equations.

Bin W Zhang, Junchao Xia, Zhiqiang Tan, Ronald M Levy

Abstract read
In one paragraph

Article in The journal of physical chemistry letters, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Surface-Accelerated String Method for Locating Minimum Free Energy Paths.Journal of chemical theory and computation · 2024
    Article
  6. Biomolecular dynamics in the 21st century.Biochimica et biophysica acta. General subjects · 2024
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. The UWHAM and SWHAM Software Package.Scientific reports · 2019
    Article
  16. Fast Solver for Large Scale Multistate Bennett Acceptance Ratio Equations.Journal of chemical theory and computation · 2019
    Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors.

Bin W ZhangCenter for Biophysics and Computational Biology, Department of Chemistry, and Institute for Computational Molecular Science, Temple University , Philadelphia, Pennsylvania 19122, United States.
Junchao XiaCenter for Biophysics and Computational Biology, Department of Chemistry, and Institute for Computational Molecular Science, Temple University , Philadelphia, Pennsylvania 19122, United States.
Zhiqiang TanDepartment of Statistics, Rutgers University , Piscataway, New Jersey 08854, United States.
Ronald M LevyCenter for Biophysics and Computational Biology, Department of Chemistry, and Institute for Computational Molecular Science, Temple University , Philadelphia, Pennsylvania 19122, United States.

Funding

DYNAMICS OF PEPTIDES AND PROTEINSR01GM030580 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI LEVY, RONALD · 1985 to 2018
$6.1M
NIGMS NIH HHS GM30580NIGMS NIH HHS R01 GM030580
6 · The paper itself

Abstract

The weighted histogram analysis method (WHAM) and unbinned versions such as the multistate Bennett acceptance ratio (MBAR) and unbinned WHAM (UWHAM) are widely used to compute free energies and expectations from data generated by independent or coupled parallel simulations. Here we introduce a replica exchange-like algorithm (RE-SWHAM) that can be used to solve the UWHAM equations stochastically. This method is capable of analyzing large data sets generated by hundreds or even thousands of parallel simulations that are too large to be "WHAMMED" using standard methods. We illustrate the method by applying it to obtain free energy weights for each of the 240 states in a simulation of host-guest ligand binding containing ∼3.5 × 10(7) data elements collected from 16 parallel Hamiltonian replica exchange simulations, performed at 15 temperatures. In addition to using much less memory, RE-SWHAM showed a nearly 80-fold improvement in computational time compared with UWHAM.

Indexed as

Stochastic ProcessesAlgorithmsThermodynamicsfree energyMBARparallel simulationsstochastic reweightingUWHAM

Identifiers

PMID26722879
PMCPMC4894662

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Registered trials

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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.