Supramolecular polymer systems are characterized by a dynamical equilibrium which confers to these materials an innate dynamic character and interesting bioinspired properties. The behavior of such complex systems is typically hard to understand, as their properties are controlled by molecular factors as much as by the collective dynamic behavior of the self-assembling entities that populate them. Studying the intricate network of collective interactions between the entities present in the systems with sufficient resolution to uncover the key molecular factors that control this complex dynamic behavior is a non-trivial but crucial challenge. Here we designed a molecular simulation approach which allows us to reach this goal. Employing coarse-grained models and molecular simulations of systems containing a large number of interacting monomers, we can study the structural and dynamical features of supramolecular polymer model examples at the thermodynamic equilibrium.