# Overcoming the limitations of the MARTINI force field in Molecular Dynamics simulations of polysaccharides

## TL;DR

This study evaluates the MARTINI force field for simulating polysaccharides in molecular dynamics, identifies its overestimation of aggregation, and proposes a scaling adjustment to improve accuracy.

## Contribution

It demonstrates the limitations of MARTINI in polysaccharide simulations and introduces a simple scaling method to correct aggregation issues.

## Key findings

- MARTINI overestimates polysaccharide aggregation in simulations.
- Comparison with experiments shows non-physical aggregation.
- Scaling Lennard-Jones interactions improves simulation reliability.

## Abstract

Polysaccharides (carbohydrates) are key regulators of a large number of cell biological processes. However, precise biochemical or genetic manipulation of these often complex structures is laborious and hampers experimental structure-function studies. Molecular Dynamics (MD) simulations provide a valuable alternative tool to generate and test hypotheses on saccharide function. Yet, currently used MD force fields often overestimate the aggregation propensity of polysaccharides, affecting the usability of those simulations. Here we tested MARTINI, a popular coarse-grained (CG) force field for biological macromolecules, for its ability to accurately represent molecular forces between saccharides. To this end, we calculated a thermodynamic solution property, the second virial coefficient of the osmotic pressure ($B_{22}$). Comparison with light scattering experiments revealed a non-physical aggregation of a prototypical polysaccharide in MARTINI, pointing at an imbalance of the non-bonded solute-solute, solute-water, and water-water interactions. This finding also applies to smaller oligosaccharides which were all found to aggregate in simulations even at moderate concentrations, well below their solubility limit. Finally, we explored the influence of the Lennard-Jones (LJ) interaction between saccharide molecules and propose a simple scaling of the LJ interaction strength that makes MARTINI more reliable for the simulation of saccharides.