  To facilitate a rapid response to pandemic threats, this paper focuses on
developing a mechanistic simulation model for in vitro transcription (IVT)
process, a crucial step in mRNA vaccine manufacturing. To enhance production
and support industry 4.0, this model is proposed to improve the prediction and
analysis of IVT enzymatic reaction network. It incorporates a novel stochastic
molecular reaction queueing network with a regulatory kinetic model
characterizing the effect of bioprocess state variables on reaction rates. The
empirical study demonstrates that the proposed model has a promising
performance under different production conditions and it could offer potential
improvements in mRNA product quality and yield.
