Predictive engineering and optimization of tryptophan metabolism in yeast through a combination of mechanistic and machine learning models
J. Zhang, S. D. Petersen, T. Radivojevic, A. Ramirez, A. Perez, E. Abeliuk, B. J. Sanchez, Z. Costello, Y. Chen, M. Fero, H. G. Martin, J. B. Nielsen, J. D. Keasling, M. K. Jensen
This study combines mechanistic and machine learning models to optimize tryptophan metabolism in yeast, achieving a 106% increase in tryptophan accumulation through predictive engineering.
bioRxiv · Nov 29, 2019 · PreprintBioengineering