Optimization Methods in Metabolic Networks
Costas D. Maranas and Ali R. Zomorrodi, John Wiley & Sons, Hoboken, NJ, $125, 288 pages, Feb. 2016, ISBN: 978-1-119-02849-9
Analysis and redesign of metabolic networks often requires the calculation of product yields, gene essentiality predictions, identification of network gaps in the model, resolution of discrepancies in experimental data, and identification of network modifications that increase product yields. This book applies the language and tools of mathematical programming to describe and solve these tasks.
The book covers various classes of progressively more complex optimization problems, starting with linear programming (LP) and mixed-integer linear programming (MILP) problems, and concluding with nonlinear programming (NLP) and mixed-integer nonlinear programming (MINLP) problems. It presents a formal treatment of each optimization problem class, followed by relevant metabolic network applications. An accompanying website provides input files for examples.
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