Can I read Stochastic Molecular Reaction Queueing Network Modeling for In Vitro Transcription Process on EtoBox?

Stochastic Molecular Reaction Queueing Network Modeling for In Vitro Transcription Process by Wang, Keqi; Xie, Wei; Zheng, Hua is a scholarly article available to read on EtoBox.

What is Stochastic Molecular Reaction Queueing Network Modeling for In Vitro Transcription Process about?

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.

Author

Wang, Keqi; Xie, Wei; Zheng, Hua

Published

2023

Language

EN