Engineering biology is slow, laborious, and expensive — until now.
By applying Directed Evolution techniques, GenoScaler recombines the strain with the highest scale-up potential with all the other genetic edits that demonstrate promising results. This is done in silico using statistical modelling of genotype-phenotype data.
Once the most promising candidates are identified, the GenoScaler team builds additional combinatorial libraries to efficiently search through large sequence spaces to rapidly improve performance. The entire process results in a commercially compliant strain with >10,000x productivity compared to the base strain.