Embedded Files
Pathway design
Pathway design
We used ART to recommend which promoter combinations would improve tryptophan productivity in Saccharomyces cerevisiae.
Input: promoter combinations
Response: tryptophan productivity
Host optimization through CRISPRi
Host optimization through CRISPRi
We used ART to pinpoint which genes to downregulate through CRISPR interference (CRISPRi) to increase the titer of isoprenol, a precursor of an improved energy density aviation fuel (DMCO)
Input: genes to downregulate through CRISPRi
Response: isoprenol titer
Media optimization
Media optimization
ART was used to improve titer/yield of flaviolin by systematically optimizing media composition (i.e., concentrations for each of the 15 media components).
Input: concentration of media components
Response: flaviolin titer
Predicting production from protein expressionÂ
Predicting production from protein expressionÂ
ART leveraged proteomics data to predict improved production of limonene and dodecanol in E. coli, and to hit desired target metabolites’ levels to achieve hoppy flavor in hopless beer when bioengineering of S. cerevisiae.
Input: protein concentrations
Response: limonene/dodecanol/geraniol/linalool titer
iGEM 2021 Competition
iGEM 2021 Competition
The Groningen 2021 team used ART to win the environmental track of the competition, in a project aiming to reduce nitrogen emissions by engineering Saccharomyces spp. to produce alpha-amylase. The team used ART to predict which combination of chassis, promoter, secretion peptide and alpha-amylase encoding gene would result in a high alpha-amylase activity.
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