In this work, we have presented a new approach for stabilizing protein structure in Martini 3 simulations called OLIVES. We show that explicit modeling of a coarse-grained hydrogen bond network is enough to stabilize protein structures through a novel Gō-like model implementation using OLIVES. The OLIVES Gō-like model was validated against 4 test systems of protein complexes displaying diverse folds and secondary structure content, and it was shown that, in general, OLIVES enables the simulation of proteins without the use of secondary structure restraints. By reducing the number of Gō-like bonds and secondary structure restraints, OLIVES has the potential to speed up Martini 3 simulations of proteins by up to 30%. We find that solution protein complexes require the use of a quaternary bias network in order to avoid dissociation regardless of which structure bias method is used. Finally, we lay out future directions for improving the current protein model and protein-protein interactions in the Martini 3 coarse-grained force field.