Synthetic biology often involves engineering microbial strains to express high-value proteins. Here the authors build deep learning predictors of protein expression from sequence that deliver accurate models with fewer data than previously assumed, helping to lower costs of model-driven strain design.
- Evangelos-Marios Nikolados
- Arin Wongprommoon
- Diego A. Oyarzún
