Hybrid Flux Balance Analysis Metabolites Production

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Description

Metabolic engineering involves the manipulation of genes which have the potential to increase the yield of metabolite production. This book presents a research of in silico metabolic engineering by improving a hybid of Genetic Ant Colony Optimization (GACO) and Flux Balance Analysis (FBA) algorithms. It starts with an extensive literature on metabolic engineering, and models and methods in metabolic engineering such as FBA, GACO and many more. This is followed by a complete methodology on the research carried out by the authors. Two public datasets of genome scale metabolic models are used for the research in this book, which are iAF1260 (E.coli) and Yeast 4.05 (S.cerevisiae). The book also contains a detailed technical framework of GACO and FBA including pseudo code, comprehensive experimental results, and analyses on both Yeast and E.coli datasets. The information from this book is helpful for understanding processes and techniques involved in in silico metabolic engineering.

Research Ecosystem
Universiti Teknologi Malaysia UTM Nexus - Research & Innovation

Office of Deputy Vice Chancellor (Research & Innovation)

DVCRI Profile Johor Bahru Office Kuala Lumpur Office

Higher Institution Centre of Excellence (HI-COE)

Advance Membrane Technology Research Centre - AMTEC Institute of Noise & Vibration - INV Wireless Communication Centre - WCC

Research Institute

Centre of Excellence (COE)

Institute of High Voltage & High Current - IVAT UTM-MPRC Institue for Oil & Gas - IFOG Centre for Artificial Intelligence & Robotics - CAIRO Centre for Engineering Education - CEE Centre for Advanced Composite Materials - CACM Innovation Centre in Agritechnology for Advanced Bioprocessing - ICA Institute of Bioproduct Development - IBD

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Research Management Centre - RMC Penerbit UTM Press Centre for Community & Industry Network - CCIN Innovation & Commercialisation Centre - ICC University Laboratory Management Centre - PPMU Institut Sultan Iskandar - UTM-ISI

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