Read more about Introduction to Systems Biology: Workbook for Flipped-Classroom Teaching

Introduction to Systems Biology: Workbook for Flipped-Classroom Teaching

(1 review)

Thomas Sauter, Esch-sur-Alzette, Luxembourg

Marco Albrecht, Esch-sur-Alzette, Luxembourg

Copyright Year: 2023

Publisher: Open Book Publishers

Language: English

Formats Available

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Attribution-NonCommercial Attribution-NonCommercial


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Reviewed by Mecca Baker, Research Associate/Instructor, James Madison University on 9/6/23

The book does an excellent job of introducing mathematical concepts to biological topics. There is no index or glossary, but there are hyperlinks within the text that lead to YouTube videos that further explain the topics. These links allow the... read more

Table of Contents

  • Preface
  • Introduction
  • Chapter 1: Biochemcial networks in the matrix form
  • Chapter 2: Metabolic modeling
  • Chapter 3: the magic of change and how to find itt
  • Chapter 4: Physical modeling and non-linear enzyme

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  • About the Book

    This book is an introduction to the language of systems biology, which is spoken among many disciplines, from biology to engineering. Authors Thomas Sauter and Marco Albrecht draw on a multidisciplinary background and evidence-based learning to facilitate the understanding of biochemical networks, metabolic modeling and system dynamics.
    Their pedagogic approach briefly highlights core ideas of concepts in a broader interdisciplinary framework to guide a more effective deep dive thereafter. The learning journey starts with the purity of mathematical concepts, reveals its power to connect biological entities in structure and time, and finally introduces physics concepts to tightly align abstraction with reality.
    This workbook is all about self-paced learning, supports the flipped-classroom concept, and kick-starts with scientific evidence on studying. Each chapter comes with links to external YouTube videos, learning checklists, and Integrated real-world examples to gain confidence in thinking across scientific perspectives. The result is an integrated approach that opens a line of communication between theory and application, enabling readers to actively learn as they read.
    This overview of capturing and analyzing the behavior of biological systems will interest adherers of systems biology and network analysis, as well as related fields such as bioinformatics, biology, cybernetics, and data science.

    About the Contributors


    Thomas Sauter has been professor for Systems Biology and study director of the Master in Integrated Systems Biology and the International Master in BioMedicine at the University of Luxembourg since 2008. He studied Technical Biology at the University of Stuttgart and at the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg, Germany. He received a PhD in Engineering for modeling of the metabolism of Escherichia coli. His research group develops tools for molecular network reconstruction and network-based drug discovery, with applications mainly in cancer biology. He has more than 20 years of experience in educating and supporting students.

    Marco Albrecht is an engineer, trained in system theory, control engineering, modeling, and molecular biology. He studied biosystems engineering at the Ottovon-Guericke University in Magdeburg and did a PhD at the University of Luxembourg on “Mathematical histopathology and systems pharmacology of melanoma” in the context of the MELPLEX ITN training program supported by the European HORIZON 2020. He is now a research scientist at esqLABS GmbH, Germany, with expertise in Quantitative Systems Pharmacology.

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