2 papers
q-bio.BM2025
Few-shot Protein Fitness Prediction via In-context Learning and Test-time Training
Felix Teufel, Aaron W. Kollasch, Yining Huang +4
Accurately predicting protein fitness with minimal experimental data is a persistent challenge in protein engineering. We introduce PRIMO (PRotein In-context Mutation Oracle), a tr…
cs.LG2024
Multi-Scale Representation Learning for Protein Fitness Prediction
Zuobai Zhang, Pascal Notin, Yining Huang +5
Designing novel functional proteins crucially depends on accurately modeling their fitness landscape. Given the limited availability of functional annotations from wet-lab experime…