How do we model the complex, interconnected networks of biological systems?
In short: This lecture explores the transition from macroscopic continuous concentration gradients to mesoscopic discrete molecular numbers. It provides a foundational look at systems biology, metabolic kinetics, and flux balance optimization methods used to analyze biological networks.
Part of the MIT HST.508 Genomics and Computational Biology course from Fall 2002, this lecture series taught by George Church examines the mathematical frameworks required to understand cellular networks. By contrasting continuous models with discrete molecular approaches, the material highlights the challenges of scaling biological analysis.
The session specifically addresses how researchers apply metabolic kinetics and flux balance optimization to map biological activity. These methods are essential for predicting how networks function and respond to changes, offering a rigorous quantitative perspective on systems biology.
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Sources
- Summary by Intellect · source: 9A. Networks 1: Systems Biology, Metabolic Kinetic & Flux Balance Optimization Methods
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