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Comparison of Protein–Glycosaminoglycan Interactions in ff14sb/GLYCAM06j‑1 and CHARMM36m Force Fields

Abstract:
Glycosaminoglycans (GAGs) are long, anionic polysaccharides abundant in the extracellular matrix and lysosomes, where their electrostatic interactions with proteins are essential for biological function. Computational studies of GAG-containing systems remain challenging due to their significant charge density and conformational flexibility. Here we benchmark two widely used force-fields, ff14SB/GLYCAM06j-1 and CHARMM36m, for three experimentally characterized protein–GAG complexes. Both force fields reproduce the key structural features of protein–GAG interactions, while GAG dynamics depend on protein charge, with CHARMM36m favoring broader surface exploration for highly positively charged proteins and AMBER enhancing mobility for less charged systems. Although protein flexibility is similarly described, ff14SB/GLYCAM06j-1 samples a broader GAG conformational space, and dissociation free energy profiles diverge for highly anionic GAGs, but remain comparable for moderately sulfated systems. In addition, we performed molecular dynamics simulations for all systems using the ff14SB/GLYCAM06j-1, CHARMM36m, and ff19SB/GLYCAM06j-1 force fields in a 15 Å solvent box. Structural and energetic analyses revealed no significant impact of the solvent box size on the examined descriptors. These results establish practical benchmarks for accurate atomistic simulations of GAG–protein assemblies and will inform future developments in biomolecular force fields.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1021/acs.jcim.5c03159

Authors

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Role:
Author
ORCID:
0000-0002-2066-1522
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Role:
Author
ORCID:
0000-0002-7751-980X
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Role:
Author
ORCID:
0000-0003-4333-0889
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Institution:
University of Oxford
Division:
MPLS
Department:
Chemistry
Sub department:
Chemistry
Role:
Author


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Funder identifier:
10.13039/501100004281
Grant:
UMO-2023/48/C/ST4/00163
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Funder identifier:
https://ror.org/03ha2q922


Publisher:
American Chemical Society
Journal:
Journal of Chemical Information and Modeling More from this journal
Volume:
66
Issue:
10
Pages:
6159-6180
Publication date:
2026-05-04
Acceptance date:
2026-04-27
DOI:
EISSN:
1549-960X
ISSN:
1549-9596


Language:
English
Keywords:
Source identifiers:
4086219
Deposit date:
2026-05-27
ARK identifier:
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