Further development of AI-based tools could be particularly beneficial in this regard. Another more specific consideration involves lipid tails. The Martini model has traditionally used a simplified approach, where the same chain represents two tail lengths. For example, the classic DPPC lipid model represents both di-C16:0 and di-C18:0 lengths. Given that Martini 3 can represent up to three resolutions via beads of different sizes, current developments may allow for more precise distinction of tail lengths, which would significantly enhance the accuracy and expand the IL library models.