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System Modeling in Cellular Biology: From Concepts to Nuts and Bolts 1st Edition

3.7 out of 5 stars 3 customer reviews
ISBN-13: 978-0262195485
ISBN-10: 0262195488
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Editorial Reviews

Review

"Whether for graduate students or researchers, this book provides an excellent introduction to systems biology modeling." Steven S. Andrews Quarterly Review of Biology

About the Author

Zoltan Szallasi is Professor at the Center for Biological Sequence Analysis, Technical University of Denmark.

Jörg Stelling is a faculty member of the Department of Biosystems Science and Engineering at ETH Zürich.

Vipul Periwal is with the Mathematical Cell ModelingSection, NIDDK, National Institute of Health.
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Product Details

  • Hardcover: 464 pages
  • Publisher: The MIT Press; 1 edition (March 24, 2006)
  • Language: English
  • ISBN-10: 0262195488
  • ISBN-13: 978-0262195485
  • Product Dimensions: 7 x 0.8 x 9 inches
  • Shipping Weight: 2 pounds (View shipping rates and policies)
  • Average Customer Review: 3.7 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #2,328,839 in Books (See Top 100 in Books)

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Top Customer Reviews

Format: Hardcover Verified Purchase
I'm torn between giving this book 3 or 4 stars. On one hand, it is enjoyable to read and a great value for Amazon's discounted price. On the other hand, the book tries to tackle many modeling techniques at once; I often found myself wishing for more complete descriptions than were provided.

The first section introduces basic concepts of mathematical modeling and considers structures and behaviors characteristic of biological models: The text opens with a discussion of the compromise between model scope and informativeness. Trade-offs of biological robustness and complexity are discussed. Modularity is explored as a unifying property of biological systems.

The next section discusses a range of mathematical modeling frameworks. Bayesian logic is introduced as a means to discriminate among competing models (hypotheses) of biological systems. Quasi-steady state stoichiometric methods, non-linear ODEs, PDEs, and stochastic methods are each given a chapter. Biological network topology is also discussed. While the topics are presented well (some better than others), many (especially the topology and PDE chapters) would benefit from more extensive coverage and mathematical background. The toy model examples are also very simplistic; I would have liked to see discussion of special considerations for higher-dimensional systems.

The third section was the most useful for me and at the same time the most frustrating. It discusses practical issues: experimental data collection, model identification, parameter estimation, and control theory. There is a chapter on gene regulatory systems (think BioBricks or Uri Alon's work) and a brief discussion of multi-scale (cellular/tissue/organ) models.
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Format: Hardcover Verified Purchase
This text has been very helpful in understanding the theory behind systems biology. Although it's a pretty good text, some of the chapters are not very readable. I'm sure that's in part due to the fact that sys bio is new to me, but it's also due to some unclear writing. Nevertheless, I still recommend it for computer scientists and biologists that would like a better understanding of mathematical modeling of biological systems.
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By Yi Fan on December 30, 2007
Format: Hardcover
A nicely written book for beginner-to-intermediate level system biologists.
The math models are neat and helpful, and the price is certainly good enough for its value.
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