protein-generation

SinAE introduces a single-architecture flow-matching autoencoder using vanilla Transformers that achieves near-lossless reconstruction across molecules, crystals, and proteins, enabling cross-domain training and strong generative performance on standard benchmarks.

Introduces ProHiFlo, a hierarchical flow matching framework for de novo protein generation with coarse-to-fine generation, functional guidance, and SE(3)-equivariant architecture, achieving state-of-the-art performance with 4x fewer sampling steps.