Evidence map›Paper›PMID 35609233›Full record

ArticleJournal of chemical theory and computation2022

Alchemical Free Energy Estimators and Molecular Dynamics Engines: Accuracy, Precision, and Reproducibility.

Alexander D Wade, Agastya P Bhati, Shunzhou Wan, Peter V Coveney

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. How to Use Quantum Computers for Biomolecular Free Energies.Journal of chemical theory and computation · 2026
    Article
  2. Article
  3. Article
  4. Uncertainty Quantification forChemical reviews · 2026
    Review
  5. Ligand-Binding Free Energy Simulations of Membrane Proteins.Advances in experimental medicine and biology · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Ensemble-Based Approaches Ensure Reliability and Reproducibility.Journal of chemical information and modeling · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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.

Alexander D WadeCentre for Computational Science, Department of Chemistry, University College London, London WC1H 0AJ, UK.
Agastya P BhatiCentre for Computational Science, Department of Chemistry, University College London, London WC1H 0AJ, UK.
Shunzhou WanCentre for Computational Science, Department of Chemistry, University College London, London WC1H 0AJ, UK.ORCID 0000-0001-7192-1999
Peter V CoveneyCentre for Computational Science, Department of Chemistry, University College London, London WC1H 0AJ, UK.ORCID 0000-0002-8787-7256

Funding

Medical Research Council MR/L016311/1
6 · The paper itself

Abstract

The binding free energy between a ligand and its target protein is an essential quantity to know at all stages of the drug discovery pipeline. Assessing this value computationally can offer insight into where efforts should be focused in the pursuit of effective therapeutics to treat a myriad of diseases. In this work, we examine the computation of alchemical relative binding free energies with an eye for assessing reproducibility across popular molecular dynamics packages and free energy estimators. The focus of this work is on 54 ligand transformations from a diverse set of protein targets: MCL1, PTP1B, TYK2, CDK2, and thrombin. These targets are studied with three popular molecular dynamics packages: OpenMM, NAMD2, and NAMD3 alpha. Trajectories collected with these packages are used to compare relative binding free energies calculated with thermodynamic integration and free energy perturbation methods. The resulting binding free energies show good agreement between molecular dynamics packages with an average mean unsigned error between them of 0.50 kcal/mol. The correlation between packages is very good, with the lowest Spearman's, Pearson's and Kendall's tau correlation coefficients being 0.92, 0.91, and 0.76, respectively. Agreement between thermodynamic integration and free energy perturbation is shown to be very good when using ensemble averaging.

Indexed as

Molecular Dynamics SimulationEntropyLigandsProtein BindingReproducibility of ResultsThermodynamicsLigands

Identifiers

PMID35609233
PMCPMC9202356

What OpenQuestion holds

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LicenceCC BY
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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.