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Diploma in Metabolic Network Analysis and Applications

Learn about transgenic technologies, bioenergetics, and metabolic network analysis in this free online course.

Publisher: NPTEL
In this free online course, study the interconnections, ‘circuit diagrams’, and key features of biological networks. The reaction maps, boundaries, and stoichiometric matrixes will be shown. Also, the CRISPR system and CRISPR-Cas9 tools will be extensively discussed. By completing this exciting course, you will acquire high in demand technical knowledge for a rewarding career in systems biology or metabolic engineering. Enrol now!
Diploma in Metabolic Network Analysis and Applications
  • Duration

    10-15 Hours
  • Students

  • Accreditation






View course modules


Bioenergetics is the sum of the processes of transformation of external sources of energy into biologically useful work of living systems, and the process of storing and consuming the energy in the form of Adenosine Triphosphate (ATP). In this free online course, you will study bioenergetics, and how it highlights the cellular energy requirements for biofuel synthesis. The cellular carbon yield and energy efficiency, and the process of ATP formation from the electron transport chain will be discussed. The one-dimensional annotation of genome sequences will highlight the procedures for locating the Open Reading Frames (ORFs) and assigning functions to gene products. Similarly, the two-dimensional systems will cover reaction mechanisms, regulatory networks, and signalling networks, etc. You will study the biochemical network reconstruction process and the four-level hierarchy for simplifying the conceptualization of network functions. Then, the genome-scale metabolic model and the mathematical representation of biochemical networks will be elucidated. Learn the methods for defining a network boundary, as well as the mathematical models for estimating a network map and stoichiometric matrix.

Next, you will discover the definition and mathematical procedures for formulating an objective function. The systems for assessing the sensitivity of the optimal properties of a network (also known as robustness analysis) will be elucidated. The topic on phase plane analysis will consider the characteristics and mathematical systems for value estimations from the four isocline regions of a metabolic network. Examine the randomized sampling, and Artificially Centered Hit and Run (ACHR) procedures for characterizing and estimating the centre of a flux solution space. Likewise, the topic on computational design of mutant strains will dissect optknock, optstrain, and other strain development strategies. Learn about the convex basis for the null space, elementary modes, and extreme pathways. Additionally, the 13C labelling techniques, 13C MFA formulation steps, and the challenges in 13C-assisted MFA will be highlighted. The systems for 13C fingerprinting and Nonstationary Metabolic Flux Analysis (NMFA) will be disclosed. Then, the applications of metabolic engineering in microbial strain design will be discussed. The topic on genome editing technology will highlight several genetic tools and strategies employed for gene expression modulation and metabolic pathway optimization. You will learn about promoters, Ribosome Binding Sites (RBS), RNA-mediated gene modulation systems, etc.

Finally, the exciting features and basic timelines of CRISPR technology will be examined. You will learn about the CRISPR array, the structure of the CRISPR locus, and the stages of CRISPR-Cas adaptive immunity. Also, the basis of the Cas9 engineering tool, plus the advantages of CRISPR-Cas9 over other conventional tools will be highlighted. You will be shown how to classify the chemicals produced by bioengineered microorganisms (also known as the microbial cell factories). Then, the microbial factories for hemicellulosic ethanol production in yeasts and lignocellulosic bioethanol production in E. coli will be identified. Similarly, the strategies and applications of metabolic engineering in amino acids production will be disclosed. What are the functional states of biological networks? How can the information obtained from reaction networks be presented in a mathematical framework? These questions will be addressed in this course and the practicable solutions to these challenges will be revealed. If you are seeking a career path in systems biology, metabolic engineering, or related disciplines, then you will find this course exciting and rewarding. Your application of the knowledge acquired in these subjects will lead to improvements in the development of natural metabolites and products for the pharmaceutical, bioenergy, or biotechnological industries. So why wait? Start this course today!

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