Evidence map›Paper›PMID 26928941›Full record

ArticleJournal of chemical theory and computation2016

Comparison of Methods To Reweight from Classical Molecular Simulations to QM/MM Potentials.

Eric C Dybeck, Gerhard König, Bernard R Brooks, Michael R Shirts

Abstract readComparative Study
In one paragraph

Article in Journal of chemical theory and computation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Free energies at QM accuracy from force fields via multimap targeted estimation.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  4. Article
  5. Review
  6. AffordableThe journal of physical chemistry. A · 2021
    Article
  7. Accelerated Computation of Free Energy Profile atJournal of chemical theory and computation · 2021
    Article
  8. Article
  9. Accelerated Computation of Free Energy Profile atJournal of chemical theory and computation · 2020
    Article
  10. Best Practices for Alchemical Free Energy Calculations [Article v1.0].Living journal of computational molecular science · 2020
    Article
  11. Article
  12. Article
  13. Use of Interaction Energies in QM/MM Free Energy Simulations.Journal of chemical theory and computation · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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.

Eric C DybeckDepartment of Chemical Engineering, University of Virginia , Charlottesville, Virginia 22904, United States.
Gerhard KönigLaboratory of Computational Biology, National Heart, Lung and Blood Institute, National Institutes of Health , 5635 Fishers Lane, T-900 Suite, Rockville, Maryland 20852, United States.
Bernard R BrooksLaboratory of Computational Biology, National Heart, Lung and Blood Institute, National Institutes of Health , 5635 Fishers Lane, T-900 Suite, Rockville, Maryland 20852, United States.
Michael R ShirtsDepartment of Chemical Engineering, University of Virginia , Charlottesville, Virginia 22904, United States.

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
Intramural NIH HHS ZIA HL001051
6 · The paper itself

Abstract

We examine methods to reweight classical molecular mechanics solvation calculations to more expensive QM/MM energy functions. We first consider the solvation free energy difference between ethane and methanol in a QM/MM Hamiltonian from configurations generated in a cheaper MM potential. The solute molecules in the QM/MM Hamiltonian are treated with B3LYP/6-31G*, and the solvent water molecules are treated classically. The free energy difference in the QM/MM Hamiltonian is estimated using Boltzmann reweighting with both the non-Boltzmann Bennett method (NBB) and the multistate Bennett acceptance ratio (MBAR), and the variance of each method is directly compared for an identical data set. For this system, MBAR-derived methods are found to produce smaller overall uncertainties than NBB-based methods. Additionally, we show that to reduce the variance in the overall free energy difference estimate in this system for a fixed amount of QM/MM calculations, the energy re-evaluations in the Boltzmann reweighting step should be concentrated on the physical MM states with the highest overlap to the QM/MM states, rather than allocated equally over all sampled MM states. We also show that reallocating the QM/MM re-evaluations can be used to diagnose poor overlap between the sampled and target state. The solvation free energies for molecules in the SAMPL4 solvation data set are also calculated in the QM/MM Hamiltonian with NBB and MBAR, and the variances are marginally smaller for MBAR. Overall, NBB and MBAR produce similar variances for systems with poor sampling efficiency, and MBAR provides smaller variances than NBB in systems with high sampling efficiency. Both NBB and MBAR converge to identical solvation free energy estimates in the QM/MM Hamiltonian, and the RMSD to experimental values for molecules in the SAMPL4 solvation data set decreases by approximately 28% when switching from the MM Hamiltonian to the QM/MM Hamiltonian.

Indexed as

Molecular Dynamics SimulationCadmium CompoundsElectronsModels, ChemicalNanotubes, CarbonQuantum DotsQuantum TheorySelenium CompoundsThermodynamicsCadmium Compoundscadmium selenideNanotubes, CarbonSelenium Compounds

Identifiers

PMID26928941
PMCPMC6497519

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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.