Fig. demonstrates how the automatic simulation-quality evaluation and the NMRlipids Databank-API enable rapid selection of the best models for membrane simulations. Fig. illustrates that predictions for the lateral packing of membranes composed of two most biologically-abundant neutral membrane lipids, POPC and POPE , diverge between different force fields. To find the most realistic parameters to simulate membranes with these lipids, we first ranked all simulations based on order parameter quality (Fig. ), then picked force fields that occurr in Fig. (that is: force fields for both POPC and POPE in the Databank), and then ranked them according to the quality of the sn-1 chain of POPC (Fig. ) and of POPE (Fig. ). Simulations with τ rel clearly above one (larger than 1.3) were discarded in this analysis. Because the average sn-1 chain order parameter is a good proxy for the membrane packing (Fig. ), rankings in Figs. and can be used to select the simulations giving the most realistic results in Fig. . Based on this, Lipid17 and Slipids simulations are most realistic for a POPC membrane, while CHARMM36 and GROMOS-CKP simulations predict overly packed bilayers (overestimated order in Fig. ). For POPE, on the other hand, GROMOS-CKP and Slipids are most realistic, while CHARMM36 and Lipid17 predict too packed membranes. In conclusion, the quality evaluation based on the NMRlipids Databank suggests that the Slipids parameters are the best currently available choice for simulations with PC and PE lipids, at least for applications where membrane packing is relevant. Also direct comparisons with the experimental data for the most relevant simulations are shown in Figs. 2E-F and S5 a. Fig. shows the overall highest-ranked simulation, POPC bilayer with OPLS3e parameters, for the reference.