Hybrid Model Development to Support Process Understanding: An Industrial mRNA In Vitro Transcription Case Study
In this collaboration with Janssen, the hybrid model was used to accurately predict IVT process performance across diverse experimental conditions.
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Challenge
In vitro transcription (IVT) for large mRNA production is a complex and sensitive process, where transcription efficiency and product integrity are strongly influenced by parameters such as temperature, reagent ratios, material variability, and process timing.
Exploring these interactions experimentally is time-consuming and costly, particularly when lot-to-lot variability and unmeasured effects complicate purely mechanistic modelling approaches.
Objectives
OBJ. 1: Demonstrate the hybrid model’s ability to accurately predict IVT process performance across diverse experimental conditions.
OBJ. 2: Guide process development through iterative model-driven experimentation to meet mRNA yield and integrity targets.
OBJ. 3: Derive deeper process understanding through Shapley value analysis and what-if simulations to support process optimization.
Should you wish to further explore the case with the DataHow team, please contact us directly.
