The bias potential is usually formulated using collective variables (CV). These are just functions of the internal coordinates, parametrizing the expected reaction coordinate of the system. The classical numerical representation of the bias potential is a sum of Gaussian functions of the user-defined widths and heights. These basic components are added with some periodicity during the MTD simulation, and the centers of these Gaussians are placed at the current values of the CVs. Therefore, at the end of the simulation, -V MTD represents a coarse and averaged snapshot of the sampled part of the PES. The interpretation of this bias potential can also be made through the probability distributions. In this manuscript, we propose an alternative view of the MTD bias potential. We use its similarity to the quantum potential from the De Broglie-Bohm formalism of quantum mechanics. We discuss the application of this reformulated MTD simulation to a specific class of reactions that involve the breaking of chemical bonds. In particular, we demonstrate the applicability of the proposed approach using the two prototypic reactions: proton transfer in the malonaldehyde and the inverse Diels-Alder reaction of the cyclohexene. In the end, we provide conclusions and perspectives on the current approach.