# Development of Transferable Coarse-Grained Lipid Models with Optimized Structural and Elastic Membrane Properties

## TL;DR

This paper introduces new coarse-grained lipid models that efficiently simulate membrane properties while maintaining accuracy and transferability across different lipid types.

## Contribution

The novel contribution is the development of transferable CG lipid models optimized for structural and elastic membrane properties using a combination of optimization algorithms and experimental data.

## Key findings

- The CG models accurately reproduce structural features of lipids and bilayer properties across various conditions.
- The models exhibit bead transferability across different lipid chain structures and polymeric macromolecules.
- The approach balances computational efficiency with predictive accuracy for complex membrane systems.

## Abstract

Lipid membranes play crucial roles in cellular functions
and offer
diverse engineering applications. Studying their properties is critical
but computationally demanding through atomistic simulations. In this
work, we develop coarse-grained (CG) models for phosphocholine lipids,
aimed at balancing computational efficiency and predictive accuracy
with chemical and temperature transferability. We introduce chargeless
CG beads with 2:1 or 3:1 mapping and optimize the force fields through
a combination of systematic and accelerated approaches that integrate
particle swarm optimization algorithm with molecular dynamics simulations.
The optimization utilizes structural and elastic membrane properties
obtained experimentally through X-ray and neutron scattering studies
including lipid packing density, membrane thickness, and bending modulus.
Validation against atomistic simulations shows that our CG models
accurately reproduce the structural features of lipids including bond
and angle distributions, radial distribution functions, and key bilayer
properties across various system sizes and simulation time steps.
A unique feature of our CG models is the bead transferability across
lipids of different chain structures as well as polymeric macromolecules
with similar atomic grouping. This capability facilitates future studies
of more complex systems including lipid mixtures, hybrid lipid–polymer
membranes, and lipid–glycomaterial complexesthus offering
an efficient platform for predicting structural and functional dynamics
while mitigating the computational challenges of atomistic simulations.