Now showing items 1-3 of 3
Chemoinformatic-guided engineering of polyketide synthases
Polyketide synthase (PKS) engineering is an attractive method to generate new molecules such as commodity, fine and specialty chemicals. A central challenge in PKS design is replacing a partially reductive module with a ...
ART: A machine learning Automated Recommendation Tool for synthetic biology
Biology has changed radically in the last two decades, transitioning from a descriptive science into a design science. Synthetic biology allows us to bioengineer cells to synthesize novel valuable molecules such as renewable ...
Predictive engineering and optimization of tryptophan metabolism in yeast through a combination of mechanistic and machine learning models
In combination with advanced mechanistic modeling and the generation of high-quality multi-dimensional data sets, machine learning is becoming an integral part of understanding and engineering living systems. Here we show ...