Adaptive model-guided protein evolution with sparse data optimizes compact eukaryotic genome editors

Read full text
Authors: Shijie Wan, J. R. Gold, Pranay Vure
Cited by: 1

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