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Seokjun On

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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. · 0 citations

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