Technology Transfer and the Insilico Software Platform

Klaus Mauch

“Combining modern bio-analytical methods with high performance computing spurs innovation and accelerates growth.”
Klaus Mauch, CEO

We support our customers on their way towards digitalized biomanufacturing using Insilico's cutting edge technology as an integral part of their workflows. Technology transfer includes on-premises or cloud installation of the Insilico Software Platform, bespoke training workshops, and expert consulting to make sure our customers can leverage our technology's full potential.

The Insilico Software Platform allows for seamless integration with existing databases and IT infrastructure and delivers automated and standardized predictions for bioprocess improvement. Supercomputing and storage resources are provided by the Stuttgart High-Performance Computing Center (HLRS) or through cloud computing.

Three software modules are available today which are combined to support specific workflows in upstream bioprocess development and analysis. More workflows will be supported and automated by Insilico modules in the future, resulting in highly efficient digital bioprocess development and manufacturing.

Insilico Inspector™ Insilico Inspector™ is a unique tool for automated time-resolved metabolic process analysis and process performance rating.

On the basis of extracellular metabolite data, Insilico Inspector™ enables investigation of the host organism's metabolic pathway fluxes during individual phases of a bioprocess. These unprecedented insights allow for addressing questions such as:

  • How do medium composition, feeding strategy, process parameters, or raw materials variability affect cellular metabolism and process performance?
  • How do clones differ on the level of metabolic fluxes?
  • How does a clone's metabolism compare to a platform reference clone?
  • Which metabolic indicators correlate with productivity, product quality, stability, or upscalability?
  • How do different process phases contribute to overall performance?
  • How much of the carbon introduced contributes to product formation?
  • How much carbon is lost to by-products and maintenance?

Through quantitative analysis of intracellular pathways, Insilico Inspector™ provides the basis for streamlined and unbiased process evaluation, clone selection, or optimization of different process setups for continuous platform improvement.

Insilico Discovery™ Insilico Discovery™ is a comprehensive tool for reconstruction, verification, and simulation of compartmented cellular metabolic network models.

Insilico Discovery™ allows for integration of bioprocess data and metabolomics data to generate an individualized model of a specific host and bioprocess. By integration of transcriptomics or proteomics data, metabolic pathways can be coupled to gene regulatory networks. The software features three different modules allowing for model reconstruction, integration of experimental data, and simulation of network models. Simulation methods include transient 13C flux analysis, Metabolic Flux Analysis (MFA), Flux Balance Analysis (FBA), Minimisation of Metabolic Adjustment (MOMA), and simulation of kinetic differential-algebraic systems.

Applications of Insilico Discovery™ include:

  • Reconstruction of individualized network models as a representation of a specific cell line and bioprocess to make them available to other modules of the software platform
  • Detailed quantification and analysis of intracellular flux distributions
  • Identification of bottlenecks in cellular reaction pathways
  • Prediction of the impact on cellular metabolism of genetic modifications or alterations in medium composition

Insilico Designer™ Insilico Designer™ is a pioneering module that uses metabolic simulations to predict an optimized cell culture medium composition for improved bioprocess results.

In over a million rounds of automated optimizations, the impact of combinatorial variation in the cell culture medium composition on cellular metabolism, biomass production, side product formation, product titer, and metabolite concentrations is predicted. As a result, Insilico Designer™ suggests a medium composition that supports maximum process performance for a set of objectives which can be defined and prioritized individually, such as:

  • Optimization of product titer
  • Reduction of side products
  • Controlled concentrations of metabolites such as lactate

In silico media optimization using Insilico Designer™ replaces experimental DoE iterations and can thus significantly reduce the experimental efforts required for improving cell culture media.