International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Volume 8 Issue 2
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Mathematical Models in Systems and Synthetic Microbiology: From Genome-Scale Networks to Industrial Applications

Author(s) Dr. Pallavi H, Dr. B. Chandrasekhara Reddy
Country India
Abstract This review charts the pivotal role of mathematical modeling in advancing systems and synthetic microbiology. We begin by delineating the foundational frameworks, including the reconstruction of genome-scale metabolic models (GEMs) and their analysis via constraint-based methods like Flux Balance Analysis (FBA). We then progress to dynamic and kinetic modeling approaches that capture the temporal dimension of cellular processes, and stochastic models that account for the probabilistic nature of reactions involving low-copy-number molecules. The review critically examines how these models serve as indispensable tools in the engineering-driven 'Design-Build-Test-Learn' cycle of synthetic biology, facilitating the design of genetic circuits, the management of metabolic burden through resource allocation models, and the computational optimization of microbial strains for biotechnological production using frameworks like OptKnock. Finally, we explore the frontiers of the field—whole-cell modeling, the engineering of microbial consortia, and the transformative impact of machine learning—while addressing the persistent challenges of model validation and uncertainty. This synthesis underscores the evolution of mathematical modeling from a descriptive tool to a predictive and prescriptive engine driving the next generation of microbial engineering.
Keywords Mathematical modeling; Systems biology; Synthetic biology; Metabolic engineering; Microbial systems; Machine learning
Published In Volume 8, Issue 2, March-April 2026
Published On 2026-04-05
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E-ISSN 2582-2160
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