Metabolic engineering is the process of modifying the biochemical reactions of an organism to produce the required amounts of the desired metabolites through recombinant DNA technology. In this course, the four vital steps of metabolic engineering (also known as DBTL) will be outlined. You will learn how you can use the metabolic flux analysis tool for testing the flow of carbon (metabolites) inside the cell. Then, some metabolic engineering strategies such as metabolomics, fluxomics, etc., and the interrelationships between genetic engineering and metabolic engineering are discussed. Study the significance of the first defining step in new gene expression, enzymatic modulation, and transcriptional deregulation. The metabolic engineering cycle will illustrate the methods and stages of genetic modification and metabolic characterization. The module on novel aspects of metabolic engineering highlights the importance of integrated metabolic reactions in pathway synthesis, thermodynamic feasibility, and pathway flux and control. Similarly, the network of enzymatic reactions that drive the cell metabolism, including the enzymology of participating enzymes, pathway stoichiometry, etc., will be studied. See how computer-aided synthesis of biochemical pathways can provide vital information about expected maximal yields, and key intermediates of a networked reaction.
Next, learn how you can determine the diversity and complexity of the metabolic maps for feasible and observable reactions. The methods for engineering a production phenotype, as well as, the four overarching principles and frameworks of metabolism in living systems will be highlighted. The module on the cellular transport system identifies the properties and mechanisms of the active and passive transport processes. Then, study group translocation, transporter engineering, as well as the types, outputs, and purpose of the cellular fueling reactions. The metabolic routes and overall chemical reactions of glycolysis and the tricarboxylic acid cycle will be elucidated. You will learn about the phosphorylation process, as well as the importance of the P/O ratio in electron transport. The law of mass action and the dimensional annotation of genome sequences will be presented. Study the properties of biological and reconstructed networks, fundamental data types for regulatory networks, and biochemical network reconstruction process. Discern the mathematical concepts and the genomic ORFs (open reading frames) annotation strategies for mapping metabolic networks. Learn about flux balance analysis (FBA) geometric interpretation models (also known as the conceptual basis of constraint-based modelling). Likewise, the constraint-based reconstruction and analysis (COBRA) methods will be outlined.
You will delve into the procedures for phase plane analysis, computational design of mutant strains, and convex basis of the null space. The module on metabolic flux analysis (MFA) will identify the commonly used 13C labelling technique, 13C MFA formulation stages, and 13C fingerprinting models. Consider the steps for converting lignocellulosic biomass to ethanol, and the microbial choices for biofuel production. Learn how metabolic engineering can be used to improve hemicellulosic ethanol production in ethanologenic S. cerevisiae. Similarly, the strategies for commercial bioethanol production via the E. coli endogenous pathway will be considered. The module on the application of microbial engineering in amino acid production will discuss the strategies for designing large-scale amino acids producing microbial strains. How many genes are actually involved in metabolism? What pathways are the most efficient for producing the compounds of interest? These questions will be addressed and the practicable solutions revealed. If you want a job in systems biology, metabolic engineering, or related disciplines, then you will find this course rewarding. Your application of the knowledge acquired could lead to improvements in the development of natural metabolites and products for the pharmaceutical, bioenergy, biochemical or biotechnological industries. Start Course Now
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