Likelihood-based fine-tuning of protein language models for few-shot fitness prediction and design
Alex Hawkins‐Hooker, Shikha Surana, Jack Simons, Jakub Kmec, Oliver Bent, Paul Duckworth
This paper compares likelihood-based and embedding-based methods for fitness prediction and design using protein language models, finding likelihood-based fine-tuning consistently outperforms embedding-based approaches.
bioRxiv · May 28, 2024 · PreprintBioinformatics