Open access
Aug 2026
Hierarchical Discrete Representations for Coarse-to-Fine Protein Conformation Generation.
This work proposes a novel approach that learns hierarchical discrete representations of protein structures using vector quantization, and outperforms state-of-the-art models such as ESMDiff across challenging benchmark datasets, including BPTI MD trajectories and conformational-changing pairs.
Seokjun On, Yujin Jeong, Kanghyeon Kim et al.
· Bioinformatics · 0 citations