CryoFM2 extends CryoFM by applying it to real experimental cryo-EM data, incorporating physics-aware process into RELION refinement and showing fine-tuning ability for various post-processing specific models.
CryoFM2 extends CryoFM by applying it to real experimental cryo-EM data, incorporating physics-aware process into RELION refinement and showing fine-tuning ability for various post-processing specific models.
CryoFM is a flow-matching-based foundation model that learns a generative prior over biomolecular density maps.
CryoSTAR a structural regularization approach for conformational heterogeneity in cryo-EM. It has been validated on diverse experimental datasets.
