Describes MULTI-evolve, an integrated ML-guided framework that combines protein language models, epistasis learning, and multisite mutagenesis to design high-order multimutant proteins efficiently.
Key Takeaways
- Protein function is encoded by amino acid sequence
- MLDE has expanded accessible sequence space through in silico screening
- MULTI-evolve is built on three conceptual components