Integrating complementary biological information for multi-objective enzyme engineering
Enzyme catalysts are increasingly used for sustainable pharmaceutical manufacturing, but engineering industrial biocatalysts remains challenging as multiple catalytic and developability properties must be optimized simultaneously from limited experimental data. Here, we develop a machine learning-guided multi-objective design framework that integrates sparse functional measurements with…
We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.
