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AI · arxiv.org · Friday, 19 June 2026

Emyx slashes training cost while beating RFdiffusion in all-atom enzyme design

Emyx is a 140 M‑parameter conditional flow‑matching model that generates all‑atom proteins for enzyme design. It matches sparse geometric constraints, runs in just 682 GPU‑hours—four times less than RFdiffusion3—yet outperforms both Proteína‑Complexa and RFdiffusion3 on the AME benchmark for fold recovery, catalytic geometry, and structural diversity.

Read the source: arxiv.org ↗In the 19 June issue →