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Systematic Approach to Parametrization of Disaccharides for the Martini 3 Coarse-Grained Force Field

Abstract:
Sugars are ubiquitous in biology; they occur in all kingdoms of life. Despite their prevalence, they have often been somewhat neglected in studies of structure–dynamics–function relationships of macromolecules to which they are attached, with the exception of nucleic acids. This is largely due to the inherent difficulties of not only studying the conformational dynamics of sugars using experimental methods but indeed also resolving their static structures. Molecular dynamics (MD) simulations offer a route to the prediction of conformational ensembles and the time-dependent behavior of sugars and glycosylated macromolecules. However, at the all-atom level of detail, MD simulations are often too computationally demanding to allow a systematic investigation of molecular interactions in systems of interest. To overcome this, large scale simulations of complex biological systems have profited from advances in coarse-grained (CG) simulations. Perhaps the most widely used CG force field for biomolecular simulations is Martini. Here, we present a parameter set for glucose- and mannose-based disaccharides for Martini 3. The generation of the CG parameters from atomistic trajectories is automated as fully as possible, and where not possible, we provide details of the protocol used for manual intervention.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1021/acs.jcim.4c01874

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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0002-5023-8127
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0002-1562-3361
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Role:
Author
ORCID:
0000-0001-8423-5277
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Role:
Author
ORCID:
0000-0003-0660-1301
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0002-3694-5044



Publisher:
American Chemical Society
Journal:
Journal of Chemical Information and Modeling More from this journal
Volume:
65
Issue:
3
Pages:
1537-1548
Publication date:
2025-01-17
Acceptance date:
2025-01-08
DOI:
EISSN:
1549-960X
ISSN:
1549-9596


Language:
English
Source identifiers:
2674611
Deposit date:
2025-02-11
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