Evidence map›Paper›PMID 41943571›Full record

ArticleJournal of chemical theory and computation2026

Assessment and Optimization of Force Fields for Glycine Polymorphism and Solution Properties.

James W Meadows, Sharon J Cooper, Mark A Miller, Mark R Wilson

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Article in Journal of chemical theory and computation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

James W MeadowsDepartment of Chemistry, Durham University, South Road, Durham DH1 3LE, U.K.ORCID 0000-0003-4230-1859
Sharon J CooperDepartment of Chemistry, Durham University, South Road, Durham DH1 3LE, U.K.ORCID 0000-0001-5319-1478
Mark A MillerDepartment of Chemistry, Durham University, South Road, Durham DH1 3LE, U.K.ORCID 0000-0002-1403-3343
Mark R WilsonDepartment of Chemistry, Durham University, South Road, Durham DH1 3LE, U.K.ORCID 0000-0001-6413-2780

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular dynamics studies of glycine crystal growth require a force field that accurately reproduces both solution- and crystal-phase properties for all three ambient-pressure polymorphs. However, many studies use force fields validated only for α-glycine, which often yield poor crystal properties. Here, we extensively evaluate 18 force field variants (10 OPLS and 8 GAFF) and recalibrate the parameters of the best-performing models using multiobjective Bayesian optimization. Crystal lattice energies and densities are computed for α-, β-, and γ-glycine, and the mechanical stability of these polymorphs is tested over a range of temperatures. Solution densities and concentration-dependent self-diffusion coefficients are calculated in conjunction with three water models. Using alchemical hydration free energy calculations, we also obtain solvation and solution enthalpies. Optimization of the nonbonded parameters in OPLS force field variants improves the prediction of crystal properties for all polymorphs simultaneously. We present a force field that correctly reproduces the relative polymorph stability, remains mechanically stable beyond ambient temperatures, and gives excellent agreement with experimental lattice energies, crystal densities, and solution enthalpies. This optimized model is expected to provide accurate insight into the mechanisms controlling glycine polymorphism in complex environments. Moreover, the optimization framework developed here provides a general approach for improving force fields of other molecular crystals.

Identifiers

PMID41943571
PMCPMC13130867

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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.