It is interesting to note that the training curve for the LSTM and GRU models displayed irregularities, which is characteristic of how these models typically learn. Remarkably, neither the LSTM nor the GRU models surpassed the baseline RMSD of 0.60. In contrast, the RNN not only exceeded this benchmark but also emerged as the most effective model among the ones tested. This highlights the RNN's suitability for handling the sequential and time-dependent nature of the molecular trajectory data in this study.