2026
FLIP2: Expanding Protein Fitness Landscape Benchmarks for Real-World Machine Learning Applications
ICML 2026oral
Machine learning methods that predict protein fitness from sequence remain sensitive to changes in data distributions, limiting generalization across common conditions encountered in protein engineering. Practically, protein engineers are thus left wondering about the effective utility of ML tools. …