In this module, you will study the metabolic reactions that regulate the intracellular process of the cell. The allosteric protein mechanisms, which affect enzyme activation or inhibition, will be outlined. Also, you will learn about genome sequences annotations, key features of biological networks, and biochemical reconstruction models.

In this module, learn about mathematically reconstructed networks. Discern the basic features of the stoichiometric matrix, and its application in the chemical equation and stoichiometric coefficient calculations. Also, study the metabolic network boundaries and maps, as well as the procedures for flux coupling, and dynamic flux balance analysis.

In this module, you will examine the mathematical formulation of the objective and growth function and several important concepts in linear programming. The models for extreme pathway analysis, randomized sampling, mutant strains design, and the null space flux solutions will be examined. The systems for 13-C MFA formulation will also be treated.

This assessment enables you to review your learning, so you can determine your knowledge and understanding of Module 1-3 of the course, Diploma in Metabolic Network Analysis and Applications.

In this module, study the metabolic flux analysis protocols and the strategies for labelling metabolites. Learn the flux and isotopomer balance modelling techniques. The systems for chemical derivatization, 13-C fingerprinting and nonstationary MFA (NMFA) will be discussed. Then, the applications of MFA, with various examples, will be illustrated.

In this module, you will study the in vivo procedures for modifying genomic DNA sequences, the RNA-mediated gene modulation and chromosomal gene copy number control techniques. The advantages of the CRISPR-Cas system and the successful application of the Cas9-based genome editing technology for eukaryotic cell improvement will be discussed.

In this module, the methods for overcoming the challenges of large-scale biofuel production will be disclosed. Study the systems for converting lignocellulosic raw materials to ethanol, and the products value-addition strategies. The applications of systemic metabolic engineering for high-yield amino acids strains development will also be taught.

This assessment enables you to review your learning, so you can determine your knowledge and understanding of Module 5-7 of the course, Diploma in Metabolic Network Analysis and Applications.