Adaptive model-guided protein evolution with sparse data optimizes compact eukaryotic genome editors
Abstract
Source code for EvoMax, a data-efficient framework for model-guided protein evolution under sparse-data conditions, integrating iterative experimental profiling with Gaussian process regression, protein language models, and inverse folding. Associated with Wan et al., "Adaptive model-guided protein evolution with sparse data optimizes compact eukaryotic genome editors."
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 18 July 2026