Bioproduction
Optimizing the cellular factories of tomorrow through computational design and CRISPR-modeling.
Engineering Living Systems
The scale-up of pharmaceutical and industrial bio-manufacturing is a high-dimensional optimization problem. Achieving record yields of monoclonal antibodies or vaccines requires Metabolic Flux Analysis (MFA) and precision CRISPR-simulation. Malgukke delivers the compute orchestration to transform industrial microbiology into a predictable engineering discipline.
Cell Line Optimization
Computational modeling of metabolic flux to increase the yield of monoclonal antibodies and vaccines. We utilize genome-scale metabolic models (GEMs) to identify genetic bottlenecks and simulate nutrient uptake dynamics in large-scale bioreactors.
- Flux Balance Analysis (FBA) at scale
- Real-time fermentation digital twins
CRISPR Modeling
Simulating off-target effects and efficiency of genetic modifications in industrial production strains. Using GPU-accelerated neural networks, we predict gRNA binding affinity and cleavage patterns across complex production-host genomes.
- In-silico off-target prediction
- Strain stability & safety simulation
Bioproduction Computational Framework
| Production Focus | HPC / AI Action | Operational Outcome |
|---|---|---|
| Vaccine Manufacturing | Stochastic modeling of cell culture kinetics. | 20% increase in viral titer yield |
| Monoclonal Antibodies | Multi-objective optimization of CHO cell metabolism. | Reduced metabolic by-product toxicity |
| Industrial Bio-Strains | Deep learning prediction of CRISPR efficiency. | Rapid development of high-resilience hosts |