E. coli production process optimization and scale-up
Explora can optimize your protein expression improving simultaneously protein yield, solubility and cellular localization. Process optimization involves the simultaneous optimization of several parameters (e.g. suitable carbon and energy sources, nitrogen sources, other key macro-nutrients, micro-nutrients, and the effects of inducers/repressors of enzyme production temperature and process variables such as pH, dissolved oxygen, Pressure, agitation and stirring effects) which defines high-dimensional experimental space that cannot be exhaustively explored experimentally. In addition, the simultaneous optimization of different parameters often results in trade-off between parameters’ optima and global optima. This set of trade-off designs is known as a Pareto set and requires appropriate statistical tools. To tackle the problem, we deploy in collaboration with our partner Evosolutions Srl evolutionary algorithms (EA) such as genetic algorithm, ant colony and Bayesian networks to search experimental space for global optima.
Moreover, once the optimal conditions are identified we can scale-up the fermentation process up to 20L under non-GMP condition. In collaboration with our partners, the fermentation process can be scaled up to 2000 L production volume under GMP conditions.
You provide us:
- your target protein cloned into a ready-to-express vector
We deliver you:
- Identification of critical process parameters
- Development of nutrient feed strategies
- Detailed protocol for optimal expression of your protein
- Pilot plant design
- Scale-up design
BioProcess Optimazation Info Request