A Coarse-Grained MARTINI Model for Mucins

Thilakan Kanesalingam, Erik Weiand, Philippa M. Cann, Marc Masen, James P. Ewen

Research output: Contribution to journalArticlepeer-review

Abstract

Highly glycosylated proteins known as mucins are the principal components of mucus, the gel-like secretion that protects and lubricates many tissues in the human body. Molecular dynamics (MD) simulations are a useful tool to investigate the nanoscale structure and function of proteins; however, the high molecular weight of mucins makes them a challenging target for atomistic MD simulations. To enable long-time MD simulations of large mucins, we develop and validate new coarse-grained force field parameters within the MARTINI 3 framework for the glycosylated domains of salivary mucin, MUC5B. We use atomistic MD simulations of segments of the protein backbone connected to O-glycans with the CHARMM36m force field to parameterize the bonded parameters. The structural properties of MUC5B from the MD simulations with MARTINI 3, including the radius of gyration, end-to-end distance, and solvent accessible surface area, agree well with the atomistic simulations. Our MARTINI 3 parameters reproduce the bottlebrush structure of MUC5B observed in atomistic MD simulations and previous experiments. The power-law scaling of the radius of gyration with molecular weight is within the range observed in previous experiments of mucins. Accordingly, the MARTINI 3 parameters developed and validated in this study will facilitate accurate and efficient MD simulations of mucins and other glycoproteins for a variety of application areas including food science, drug delivery, and biomaterials.
Original languageEnglish
Number of pages15
JournalJournal of Chemical Theory and Computation
Early online date31 Dec 2025
DOIs
Publication statusPublished - 31 Dec 2025

Acknowledgements

We thank the Engineering and Physical Sciences Research
Council (EPSRC) for a PhD studentship for T.K. through the
Doctoral Training Partnership (DTP) scheme (EP/W524323/
1). J.P.E. thanks the Royal Academy of Engineering for support
through their Research Fellowships scheme. We acknowledge
the use of the Imperial College London Research Computing
Service (10.14469/hpc/2232) and the UK Materials and
Molecular Modelling Hub, which is partially funded by the
EPSRC (EP/T022213/1, EP/W032260/1, and EP/P020194/
1). This work used the ARCHER2 UK National Super-
computing Service (https://www.archer2.ac.uk) through the
Access to HPC scheme (project e917).115 We thank Tom
Reddyhoff for useful discussions

Keywords

  • Carbohydrates
  • Conformation Molecular mechanics Monomers Peptides and proteins
  • Molecular mechanics
  • Monomers
  • Peptides and proteins

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