Evo2 Genome Model Designs Antibodies and CRISPR Systems via In-Context Learning
Researchers demonstrate that the Evo2 genome language model can use in-context learning to design diverse functional biomolecules from scratch, including lanmodulins, rubisco, anti-CRISPR proteins, epitope-specific de novo antibodies, and CRISPR systems.
2026-11-04 ~ 2026-11-04 · 2 related posts
- Episode 1: Evo 2 shows emergent in-context learning, enabling few-shot genome and protein design(2026-10-29, 20 posts)
- Episode 2: Stanford to Benchmark Evo2 Against Simpler DNA Design Methods(2026-10-30, 4 posts)
- Episode 3: Evo2 Genome Model Designs Antibodies and CRISPR Systems via In-Context Learning(2026-11-04, 2 posts)
- Evo2 genome LM designs novel antibodies, rubisco and CRISPR systems via ICL — KevinKaichuang · 2026-11-04
- Evo2 genome LM designs CRISPR systems, antibodies and phage genomes via ICL — KevinKaichuang · 2026-11-04