Before revision:  Here, we applied the ivis framework as a novel machine learning based dimensionality reduction method originally developed for single-cell datasets for analysis of macromolecular simulations . Compared with other methods, ivis is  superior in constructing Markov state model (MSM), preserving global distance and maintaining similarity between high dimension and low dimension with the least information loss.
After revision:  Here, we applied the ivis framework as a novel machine learning based dimensionality reduction method originally developed for single-cell datasets . Here we applied this framework for the study of light, oxygen and voltage (LOV) domain of diatom Phaeodactylum tricornutum aureochrome 1a (PtAu1a) . Compared with other methods, ivis is superior in constructing Markov state model (MSM), preserving global distance and maintaining similarity between high dimension and low dimension with the least information loss.