Automatic selection of the most promising enzymatic modulations for metabolic engineering : a multi-objective optimization approach

Abstract

Single objective optimization methods are unable to capture the underlying complexity of cellular metabolism. Connectivity and regulatory effects make it necessary to resort to multi-objective strategies in order to avoid solutions involving unrealistic values in key processes. In this work we address the multi-objective global optimization of metabolic… (More)

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