The past decade has seen an explosion in the adoption of coarse-grain (CG) molecular dynamics (MD) . By employing reduced-dimensionality models one can lower the computational costs of MD simulations by several orders of magnitude, and bring into reach timescales of milliseconds and size scales approaching the micrometer . The Martini force field has been at the forefront of many important CG MD applications and is arguably the most used such model for biomolecular simulations. This is not to say CG models like Martini -where simplification is achieved by representing groups of about 4 non-hydrogen atoms as single particles, or "beads" -are without limitations: besides obvious tradeoffs, such as the inability to represent fine chirality or explicit hydrogen-bonding, Martini often suffered from 'overmapping', a condition in which models with mappings finer that 4-to-1 led to imbalanced hydrophobic/hydrophilic interactions .