The Martini model is one of the most widely used CG force fields for biomolecular simulations, particularly in the modeling of biomembrane systems. In a large part of these successful biomembrane studies, cholesterol played a key role. Martini has been successfully applied in the study of phase behavior in model membranes, where complete lipid phase diagrams have been established for binary lipid/cholesterol systems, as well as ternary and even quaternary lipid mixtures . The force field has also seen extensive use in identifying lipid binding sites on the surface of membrane proteins, where the study of cholesterol binding sites on GPCRs has been one of the hottest topics . Studies on the interactions between proteins and lipids have not been limited to identifying binding sites, but have also focused on other lipid-mediated effects that can modulate protein-protein interactions . The size and time scales within reach of Martini have also allowed for the study of processes otherwise inaccessible. These range from membrane, vesicle and/or nanoparticle fusion studies , to large-scale membrane curvature studies . The realistic largescale Martini simulations of both an average mammalian plasma membrane , and a neuronal plasma membrane stand out as some of the most complex biomolecular simulations to date . The average mammalian plasma membrane was composed of 63 different lipid types (including cholesterol), with 15 different headgroups and 11 different tails.