Introduction to Metabolic Network Analysis and Design

Metabolic networks drive all biological functions, yet their complexity often makes them difficult to study. This course provides the foundational understanding needed to analyze these vast cellular systems systematically. By the end of this course, you will be able to interpret the structure and function of metabolic pathways, understand the mathematical basis of network modeling, and recognize how engineering techniques are applied to optimize biological processes. What you'll learn: * Understand the core concepts of cellular metabolism and pathway frameworks. * Master the principles of network stoichiometry and matrix representation for modeling. * Learn how constraint-based methods, like Flux Balance Analysis (FBA), predict metabolic capabilities. * Apply modern metabolic engineering strategies for pathway optimization and host organism design. * Analyze the integration of large-scale 'omics' data into network models. * Practice interpreting results from computational analysis of engineered biological systems. The course begins with defining metabolic frameworks and network components before moving into the mathematical representation of stoichiometry. We then cover modeling techniques and conclude by examining real-world applications in metabolic engineering. This course is designed for absolute beginners in systems biology, biotechnology, and biochemical engineering who need a strong theoretical foundation in metabolic analysis. No prior experience in complex biological modeling is required. Start building your expertise in computational systems biology today.