PaStEL: Generating free-energy landscapes and mapping conformational transition pathways from cryo-EM images using a deep isometric autoencoder

This version contains the following files used in the paper (DOI: 10.26434/chemrxiv-2024-8t70s):

Atomic models used for generating synthetic pariticle images of Chignolin and Trp-cage

Model trained with particle images of ribosome (https://github.com/zhonge/cryodrgn empiar/tree/main/empiar10076) and the density maps reconstructed by PaStEL with cryoTWIN

Prepared particle image of wildtype spike protein (Spro)  and the D614G mutant, the models trained with them, and the density maps reconstructed by PaStEL with cryoTWIN