Third, while the lipidome described here is significantly expanded to thousands of lipids, it is still incomplete. Important classes of lipids, such as glycolipids, branched lipids, and specialized signaling lipids, remain absent. The inclusion of glycolipids will benefit from the development of Martini 3-compatible sugar parameters . Further optimization of the lipidome would benefit from leveraging automated parameterization tools such as Bartender 176 , CGCompiler , and Swarm-CG . These workflows allow systematic refinement of lipid models while incorporating critical properties, such as phase behavior, directly into the cost function. By automating parameter optimization, the Martini lipidome can be expanded to include new lipids more efficiently, facilitating the exploration of novel lipid structures and a broader range of biological membranes.