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Metabolic Network Analysis

Learn the principles of flux balance analysis and metabolic network remodeling techniques in this free online course.

Publisher: NPTEL
In this free online course, you will study the energy requirements of living cells, the key features and reconstruction models of biological networks, and, flux balance analysis and optimization concepts. Did you know that bioenergetics is the foundation for an exciting career in computational biology and metabolic engineering? This course will help you dissect the complex topics of bioenergetics and jumpstart a career in this field. Enrol today!
Metabolic Network Analysis
  • Duration

    5-6 Hours
  • Students

  • Accreditation






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Biologists are faced with two fundamental questions about living systems. First, if every molecule in a cell is replaced over time, it is still the same cell? Secondly, if every cell in an organism is replaced over time, is it still the same organism? High-throughput technologies have advanced significantly in recent years, and we can now acquire an understanding of the ‘wiring diagrams’ of living systems. In this free online course, you will learn about the energy requirements of living cells in biosynthesis, transport of nutrient, and cell maintenance. You will discover the three cardinal points of bioenergetics, which highlight the importance of ATP in biofuel synthesis, cell maintenance, microbial motility and re-synthesis of macromolecules. Study the process of ATP formation from the electron transport chain (also known as phosphorylation), and the systems by which the cells overcome energy shortage under anaerobic conditions. Likewise, you will examine the law of mass action, as well as the induction and repression models of gene regulation. You will learn to distinguish between one dimension and two dimension annotations of genome sequences. The difference will help you identify the open reading frames (ORFs), gene product functions, and the mathematical models (stoichiometric matrix) for representing the component interactions. Did you know that measuring the metabolic fluxes, i.e. the phenotype of the cell is a systems biology problem? Learn how metabolic engineers adopt systems engineering methodologies for identifying the evolution of biological functions, and emergent properties of cells and communities from genetic sequences.

Next, you will discover the ‘sense of purpose’ of every microbial cell, as well as the functional states and properties of biological networks. Remember, you have many options for printing the documents you have saved in your computer system. Similar to the equivalent options in printing a document, the numerous ways through which a cell can perform its various functions will be outlined. You will compare and contrast the two types of biological network models to discover the strength and weaknesses of both approaches. The topic on transcriptional regulatory networks will cover the three fundamental data types, the associated problems with each regulatory system, and, their significance in cell behaviour. Study the network reconstruction process, and the effects of intermediary metabolism, which elaborates their regulatory structures. Additionally, you will learn novel methods that will help you to properly conceptualize the four vital levels of network functions. The topic on genome-scale metabolic model reconstruction will examine genome annotation, biochemical and physiological data identification procedures, and quantitative analysis. You will familiarize yourself with the steps for genome annotation, and see the numerous databases where the network data can be curated and expanded.

Finally, the mathematical representation of reconstructed networks will attempt to provide the answers to key questions like, “What are the characteristics of the frameworks for the chemical reactions in remodelled networks?” “What does the mathematical formulation tell about the state of the biological and chemical networks?” This course will examine these subjects and consider the facts that surround them. Discern the basic features of the stoichiometric matrix and its interconnectedness with the stoichiometric coefficients. You will also learn about network boundaries, network maps, and how to use multi-omics data via biotransformation to generate information from the database. You will see how you can differentiate determined and under-determined systems. Then, the constraints which affect all living cells, and the concepts of the bounded space of the stoichiometric matrix, as well as subject areas in thermodynamically infeasible cycles will be discussed. Furthermore, you will consider the four optimization methods for constraint-based reconstruction and analysis (COBRA) of metabolic networks. The systems for flux coupling finder, as well as comprehensive dynamic flux balance analysis (DFBA) and gene deletion algorithm models will be elucidated. The complex and highly technical aspects of this course have been expertly simplified to make it more exciting and rewarding for you when you take on the challenge. So, why delay? Enrol on this course today!

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