The Martini 3 Lipidome: Expanded and Refined Parameters Improve Lipid Phase Behavior.

Area of Science:

• Biophysics
• Computational Chemistry
• Materials Science

Background:

• Lipid membranes are fundamental to cellular functions.
• Computational modeling, particularly molecular dynamics simulations, is vital for understanding lipid-biomolecule interactions.
• The Martini model is a widely used coarse-grained force field for membrane simulations but has limitations in accurately predicting lipid phase behavior.

Purpose of the Study:

• To refine the Martini 3 lipid models for enhanced structural resolution and thermodynamic accuracy.
• To improve the simulation of realistic lipid phase behavior, including complex ternary mixtures.
• To expand the Martini lipid library for broader applicability in studying biological membranes.

Main Methods:

• Development of a new mapping scheme for Martini 3 lipid models.
• Distinguishing lipid tails with differences as small as two carbon atoms.
• Creation of an expanded Martini lipid library with thousands of models.

Main Results:

• Enhanced structural resolution and thermodynamic accuracy in simulated membrane systems.
• Improved prediction of lipid phase behavior, especially in ternary mixtures.
• A comprehensive library of Martini 3 lipid models enabling simulations of complex biological systems.

Conclusions:

• The refined Martini 3 lipid models offer a more accurate and robust platform for studying lipid membranes.
• These advancements facilitate deeper insights into lipid-biomolecule interactions across academic and industrial research.
• The expanded model library supports diverse applications in biophysics, drug discovery, and materials science.