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Simulation of Living Systems

$110.00 (P)

Part of Cambridge Texts in Biomedical Engineering

  • Date Published: May 2012
  • availability: In stock
  • format: Hardback
  • isbn: 9780521768238

$ 110.00 (P)

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About the Authors
  • This practical guide to biosimulation provides the hands-on experience needed to devise, design and analyze simulations of biophysical processes for applications in biological and biomedical sciences. Through real-world case studies and worked examples, students will develop and apply basic operations through to advanced concepts, covering a wide range of biophysical topics including chemical kinetics and thermodynamics, transport phenomena, and cellular electrophysiology. Each chapter is built around case studies in a given application area, with simulations of real biological systems developed to analyze and interpret data. Open-ended project-based exercises are provided at the end of each chapter, and with all data and computer codes available online ( students can quickly and easily run, manipulate, explore and expand on the examples inside. This hands-on guide is ideal for use on senior undergraduate/graduate courses and also as a self-study guide for anyone who needs to develop computational models of biological systems.

    • Provides hands-on experience for devising, designing and analyzing simulations of biophysics processes
    • Develops through real-world case studies and practical worked examples
    • All computer codes for the examples in the book are provided online so students can use the example codes as a starting point to develop their own applications
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    Reviews & endorsements

    "concise, very readable textbook..overall, this is a nicely written text that focuses on the more practical aspect of biosimulation, and avoids bogging down the reader with esoteric mathematical theorems and proofs. Recommended." - M.R. King, CHOICE, December 2012

    "...this publication does justice to its central aim of providing practical guidance in the development of mathematical models of biological systems. It would likely serve well as a textbook for a course addressing the main subject areas, and as a reference for researchers working in those areas who wish to build such models or better understand their construction." - Christopher R. Myers, Cornell University, Quarterly Review of Biology, June 2013

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    Product details

    • Date Published: May 2012
    • format: Hardback
    • isbn: 9780521768238
    • length: 320 pages
    • dimensions: 252 x 193 x 18 mm
    • weight: 0.83kg
    • contains: 115 b/w illus. 19 tables 50 exercises
    • availability: In stock
  • Table of Contents

    1. Introduction to simulation of biological systems
    2. Transport and reaction of solutes in biological systems
    3. Physiologically-based pharmacokinetic modeling
    4. Cardiovascular systems simulation
    5. Chemical reaction systems: thermodynamics
    6. Chemical reaction systems: kinetics
    7. Chemical reaction systems: large-scale systems simulation
    8. Cellular electrophysiology
    9. Appendices: mathematical and computational techniques.

  • Resources for


    Daniel A. Beard

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  • Instructors have used or reviewed this title for the following courses

    • Engineering Biology
    • Modeling and Control of Physiological Systems
    • New Senior Technical Elective under development
    • Systems Biology of Human Diseases
  • Author

    Daniel A. Beard, Medical College of Wisconsin
    Daniel A. Beard is a Professor in the Biotechnology and Bioengineering Center and the Department of Physiology at the Medical College of Wisconsin. Research in his laboratory is focused on systems engineering approaches to understanding the operation of physiological systems in health and disease. A recent major effort in his group has been on theoretical and experimental characterization of the thermodynamics, kinetics and electrophysiology of cardiac mitochondria. Additional research interests include non-equilibrium thermodynamics in biochemical networks, mass transport and microvascular exchange in physiological systems, and drug metabolism and physiologically-based pharmacokinetics.

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