Sable
modelOpen-source protein representation learning framework using self-supervised sequence-structure collaborative learning. Features a robust structural encoder with distance encoding for direct information exchange between backbone atoms and relative position encoding (RPE) for rotational and translational invariance. Combines atomic-level and residue-level structural information. Uses masked token prediction and atom distance restoration for self-supervised learning. Published in Briefings in Bioinformatics.