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Systems Biology

Details

  • Page extent: 336 pages
  • Size: 253 x 177 mm
  • Weight: 0.8 kg

Library of Congress

  • Dewey number: 572.80285
  • Dewey version: 22
  • LC Classification: QH324.2 .P35 2006
  • LC Subject headings:
    • Computational biology
    • Genomics
    • Bioinformatics
    • Systems Biology

Library of Congress Record

Hardback

 (ISBN-13: 9780521859035 | ISBN-10: 0521859034)

Genome sequences are now available that enable us to determine the biological components that make up a cell or an organism. The discipline of systems biology examines how these components interact and form networks, and how the networks generate whole cell functions corresponding to observable phenotypes. This textbook, devoted to systems biology, describes how to model networks, how to determine their properties, and how to relate these to phenotypic functions. The prerequisites are some knowledge of linear algebra and biochemistry. Though the links between the mathematical ideas and biological processes are made clear, the book reflects the irreversible trend of increasing mathematical content in biology education. Therefore to assist both teacher and student, in an associated website Palsson provides problem sets, projects and Powerpoint slides, and keeps the presentation in the book concrete with illustrative material and experimental results.

• The first textbook in the new field of systems biology • An associated website provides slides, projects and problems • Features an open layout, summary points, guides to literature and lots of illustrations

Contents

Preface; 1. Introduction; 2. Basic concepts in systems biology; Part I. Reconstruction of Biochemical Networks: 3. Metabolic networks; 4. Regulatory networks; 5. Signalling networks; Part II. Mathematical Representation of Reconstructed Networks: 6. Basic features of S; 7. Topological properties; 8. Fundamental subspaces; 9. Null space of S; 10. The left null space of S; 11. The row and column spaces of S; Part III. Capabilities of Reconstructed Networks: 12. Dual causality; 13. Properties of solution spaces; 14. Sampling properties of solution spaces; 15. Finding functional states; 16. Parametric sensitivity; 17. Epilogue; Appendix A: nomenclature and abbreviations; Appendix B: E. coli core metabolic network; Bibliography; Index.

Review

'… [deserves] serious attention from any quantitative scientist or physicist who hopes to learn about modern biology … a welcome departure from the typical biology textbook … a very readable introduction to the subject … this is an exciting time for biology. The author exposes readers to enough material that the research literature in quantitative systems biology should become accessible.' Physics Today

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