Table of contents

  1. Front Matter
  2. Hans V. Westerhoff, Lilia Alberghina
    Pages 3-9
  3. Oleg V. Demin, Tatyana Y. Plyusnina, Galina V. Lebedeva, Ekaterina A. Zobova, Eugeniy A. Metelkin, Alex G. Kolupaev et al.
    Pages 31-67
  4. David A. Fell
    Pages 69-80
  5. Johan Elf, Johan Paulsson, Otto Berg, Måns Ehrenberg
    Pages 95-18
  6. Hans V. Westerhoff, Jan-Hendrik S. Hofmeyr
    Pages 119-141
  7. Boris N. Kholodenko, Frank J. Bruggeman, Herbert M. Sauro
    Pages 143-159
  8. Barry L. Wanner, Andrew Finney, Michael Hucka
    Pages 163-189
  9. A. Kremling, J. Stelling, K. Bettenbrock, S. Fischer, E.D. Gilles
    Pages 215-234
  10. Dirk Müller, Luciano Aguilera-Vázquez, Matthias Reuss, Klaus Mauch
    Pages 235-256
  11. Reinhart Heinrich
    Pages 259-275
  12. Bodil Nordlander, Edda Klipp, Bente Kofahl, Stefan Hohmann
    Pages 277-302
  13. Béla Novák, Katherine C. Chen, John J. Tyson
    Pages 305-324
  14. Lilia Alberghina, Riccardo L. Rossi, Danilo Porro, Marco Vanoni
    Pages 325-347
  15. Martin Bentele, Roland Eils
    Pages 349-372
  16. Lilia Alberghina, Stefan Hohmann, Hans V. Westerhoff
    Pages 389-402

About this book


For life to be understood and disease to become manageable, the wealth of postgenomic data now needs to be made dynamic. This development requires systems biology, integrating computational models for cells and organisms in health and disease; quantitative experiments (high-throughput, genome-wide, living cell, in silico); and new concepts and principles concerning interactions. This book defines the new field of systems biology and discusses the most efficient experimental and computational strategies. The benefits for industry, such as the new network-based drug-target design validation, and testing, are also presented.


In silico Modelling apoptosis biology cell cell cycle development genes genome mathematical modeling metabolism protein protein synthesis synthesis systems biology

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