On the other hand, parallel simulations increase the likelihood of sampling a wider range of conformational space, potentially identifying rare states that wouldn't be captured by a single long simulation (Fig. ). However, the inherent nature of parallel simulations introduces the risk of "tunneling" through energy barriers-where rare transitions between states appear more common than they are in reality. This effect can skew the interpretation of transition rates or pathway importance. This tradeoff between exploring nearby states in depth with long simulations versus discovering new states with parallel trajectories is well-documented , even in toy systems and simple biased random walk models. It is essential to carefully weigh these considerations based on the specific goals of the study.