University of Missouri

A geometry-complete, SE(3)-equivariant vector-quantized autoencoder that tokenizes protein 3D backbones into discrete tokens while preserving orientation and chirality.

A unified multi-task framework that converts diverse protein prediction tasks into autoregressive next-token prediction using pre-trained protein language model encoders.