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To facilitate a rapid response to pandemic threats, this paper focuses ondeveloping a mechanistic simulation model for in vitro transcription (IVT)process, a crucial step in mRNA vaccine manufacturing. To enhance productionand support industry 4.0, this model is proposed to improve the prediction andanalysis of IVT enzymatic reaction network. It incorporates a novel stochasticmolecular reaction queueing network with a regulatory kinetic modelcharacterizing the effect of bioprocess state variables on reaction rates. Theempirical study demonstrates that the proposed model has a promisingperformance under different production conditions and it could offer potentialimprovements in mRNA product quality and yield.

Stochastic Molecular Reaction Queueing Network Modeling for In Vitro Transcription Process