RFD4-Proteina launches, beating baselines across protein design benchmarks

AllThingsApx released and open-sourced a new protein design model, RFD4-Proteina, on October 21-22. Its high-thinking mode substantially outperforms existing methods across multiple benchmarks, with several hands-on testers calling it a "generational leap."

Confirmed

• On the DNA-binding protein design benchmark, RFD4-Proteina (high-thinking) achieved a 3.5% computational clustering pass rate versus 0.8% for the fixed-DNA approaches BoltGen/BoltzGen, covering three targets—pointing to improved gene-targeting tool design.
• On enzyme active-site scaffold design, it reached a 12.1% pass rate versus 5.7% for AlphaProtein-novo codesign, nearly double; the authors say it can produce thousands of designs per GPU hour.
• For protein-protein binder design, it delivers 42x the generation throughput of BindCraft, a single-backbone method in the benchmark, with higher computational clustering pass rates; the authors frame this as a jump from "folding-based design" to "molecular recognition" design.
• The model is live on Hugging Face, accompanied by NVIDIA-related resources from AllThingsApx (per post m5).
• Community adoption was rapid: a protein designer said they will use RFD4-Proteina in the Protein Design Competition co-hosted by Adaptyv and Anthropic; CotetTudor also recommended benchmarking it in that competition right away.
• Tester RafiBrent said he was initially skeptical, but after testing considers RFD4-Proteina a "generational leap" in computational biomolecular design, with his posted data showing binder design pass rates far exceeding existing methods.

Why it matters

• Simultaneous large gains in pass rate and throughput mean protein design pipelines previously bottlenecked by compute and success rates could speed up dramatically, with direct implications for gene-targeting tools, enzyme engineering, and therapeutic binder design.
• The model is open-sourced and entered a live competition on release day, showing the AI protein design community's move from model release to real-world application is shrinking dramatically.

All figures come from the releasers' and reposting testers' posts; no independent third-party reproduction has been seen yet.

2026-10-21 ~ 2026-10-22 · 6 related posts

• Protein designers adopt RFD4-Proteina for Adaptyv x Anthropic competition — AllThingsApx · 2026-10-21
• RFD4-Proteina benchmarks show step-change gains in protein binder design pass rates — AllThingsApx · 2026-10-21
• RFD4-Proteina pitched as a benchmark tool for the Anthropic x Adaptyv protein contest — AllThingsApx · 2026-10-22
• [source] RFD4-Proteina delivers 42x higher binder-design throughput than BindCraft — AllThingsApx · 2026-10-22
• [source] RFD4-Proteina doubles enzyme scaffolding pass rate to 12.1% vs 5.7% — AllThingsApx · 2026-10-22
• [source] RFD4-Proteina hits 3.5% DNA-binder pass rate vs 0.8% for BoltzGen — AllThingsApx · 2026-10-22