Cybernetic Approach to Metabolic Modeling

Cybernetic modeling has evolved for well over two decades. This seminar seeks to: (i) introduce its basic tenets, (ii) expound its relationship to other approaches to modeling metabolism, and (iii) to reveal its unique dynamic capabilities. The framework is shown to provide eloquent support for goal-oriented explanations of regulatory biological phenomena within the cause-and-effect methodology of science through experimental conformation of exacting predictions. It is further shown that relatively sparse dynamic data on wild-type strains suffice to predict the dynamic behavior of numerous gene knockout mutant strains providing a promising framework for metabolic engineering with the focus on productivity of targeted products.