Coarse-graining is
commonly used to decrease the computational
cost of simulations. However, coarse-grained models are also considered
to have lower transferability, with lower accuracy for systems outside
the original scope of parametrization. Here, we benchmark a bead-necklace
model and a modified Martini 2 model, both coarse-grained models,
for a set of intrinsically disordered proteins, with the different
models having different degrees of coarse-graining. The SOP-IDP model
has earlier been used for this set of proteins; thus, those results
are included in this study to compare how models with different levels
of coarse-graining compare. The sometimes naive expectation of the
least coarse-grained model performing best does not hold true for
the experimental pool of proteins used here. Instead, it showed the
least good agreement, indicating that one should not necessarily trust
the otherwise intuitive notion of a more advanced model inherently
being better in model choice.