Journal article
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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(Preview, Version of Record, Version of record, pdf, 6.3MB, Terms of use)
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- Publisher copy:
- 10.1021/acs.jcim.4c01874
Authors
+ Engineering and Physical Sciences Research Council
More from this funder
- Funder identifier:
- https://ror.org/0439y7842
- 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:
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1549-9596
- Language:
-
English
- Source identifiers:
-
2674611
- Deposit date:
-
2025-02-11
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