Hybrid Algorithms In Metabolic Engineering


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Microbial strains optimization for the overproduction of desired phenotype has been a popular topic in recent years. The strains can be optimized through several techniques in the field of genetic engineering. Gene knockout is a genetic engineering technique that can engineer metabolism of microbial cells with the objective to obtain desirable phenotypes. This book is based on research on improving a hybrid of bees algorithm (BA) and flux balance analysis (FBA) or BAFBA to identify the near optimal gene knockout strategies for maximizing the production of desired phenotypes in in silico metabolic engineering. This book starts with the introduction of metabolic engineering and in in silico microbial strains optimization and a review on the methods involved. It is followed with detail technical explanations on how BAFBA works and which parts of BAFBA have been improved. Next, the extensive performance analysis of BAFBA is presented together with the comparison from other methods. The advantages of this method are presented at the final chapter of this book.

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