Cybernetic modeling of biological processes in mammalian systems. (December 2020)

• Record Type: Journal Article
• Authors: Aboulmouna, Lina; Raja, Rubesh; Khanum, Sana; Gupta, Shakti; Maurya, Mano R; Grama, Ananth; Subramaniam, Shankar; Ramkrishna, Doraiswami
• Is Part Of: Current opinion in chemical engineering. Volume 30(2020)
• Page Start: 120
• Page End: 127
• Publication Date: 2020-12
• Subjects: Chemical engineering -- Periodicals; Chemical engineering; Periodicals; 660.05
• DOI: 10.1016/j.coche.2020.100660
• Languages: English
• ISSNs: 2211-3398

Abstract

Abstract : Regulation of metabolism in mammalian cells is achieved through a complex interplay between cellular signaling, metabolic reactions, and transcriptional changes. The modeling of metabolic fluxes in a cell requires the knowledge of all these mechanisms, some of which may be unknown. A cybernetic approach provides a framework to model these complex interactions through implicit accounting of such regulatory mechanisms, assuming a biological 'goal'. The premise underlying the cybernetic framework is that the regulatory processes affecting metabolism can be mathematically formulated as a cybernetic objective through variables that constrain the metabolic reaction network to achieve a specified biological 'goal'. Here, we highlight the utility of the cybernetic framework in modeling of prostaglandin metabolism in murine macrophage cells during inflammation. We present a perspective for future use of the cybernetic framework for modeling complex cellular processes using multiple objectives, which can represent distinct subprocesses within the metabolic reaction network.