Adjoint Sensitivity Analysis on Multi-Scale Bioprocess Stochastic Reaction Network

arXiv:2405.04011v1 Announce Type: cross
Abstract: Motivated by the pressing challenges in the digital twin development for biomanufacturing process, we introduce an adjoint sensitivity analysis (SA) approach to expedite the learning of mechanistic model parameters. In this paper, we consider enzymatic stochastic reaction networks representing a multi-scale bioprocess mechanistic model that allows us to integrate disparate data from diverse production processes and leverage the information from existing macro-kinetic and genome-scale models. To support forward prediction and backward reasoning, we develop a …

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