Systems Biology

Integrative Biology and Simulation Tools

  • Aleš Prokop
  • Béla Csukás

Table of contents

  1. Front Matter
    Pages i-xxxi
  2. Foundation of Systems Biology, Integrative Biology and Issues of Biosystem Complexity, Redundancy and of Other Network Properties

    1. Front Matter
      Pages 1-1
    2. Stéphane Ballereau, Enrico Glaab, Alexei Kolodkin, Amphun Chaiboonchoe, Maria Biryukov, Nikos Vlassis et al.
      Pages 3-41
    3. Laurin A. J. Mueller, Matthias Dehmer, Frank Emmert-Streib
      Pages 43-63
    4. Roberto Serra, Marco Villani
      Pages 65-93
    5. Vlado Dančík, Amrita Basu, Paul Clemons
      Pages 129-178
  3. Modeling of Ill-Defined, Lack of Knowledge (Experimental) Problems in the Field of Complex Biosystems Including Identification and Validation: A Review of Enabling Technologies

    1. Front Matter
      Pages 179-179
    2. Amphun Chaiboonchoe, Wiktor Jurkowski, Johann Pellet, Enrico Glaab, Alexey Kolodkin, Antonio Raussel et al.
      Pages 181-207
    3. Vinay Jethava, Chiranjib Bhattacharyya, Devdatt Dubhashi
      Pages 209-239
    4. Lily A. Chylek, Edward C. Stites, Richard G. Posner, William S. Hlavacek
      Pages 273-300
    5. Dagmar Waltemath, Ron Henkel, Felix Winter, Olaf Wolkenhauer
      Pages 301-320
  4. Critical Analysis of Multi-Scale Computational Methods and Tools, Computational Tools for Crossing Levels and Applications

    1. Front Matter
      Pages 375-375
    2. Fotis Georgatos, Stéphane Ballereau, Johann Pellet, Moustafa Ghanem, Nathan Price, Leroy Hood et al.
      Pages 377-397
    3. Máté Pálfy, László Földvári-Nagy, Dezső Módos, Katalin Lenti, Tamás Korcsmáros
      Pages 463-477
    4. Andrew K. Rider, Nitesh V. Chawla, Scott J. Emrich
      Pages 479-495
  5. Amphun Chaiboonchoe, Wiktor Jurkowski, Johann Pellet, Enrico Glaab, Alexey Kolodkin, Antonio Rausell et al.
    Pages E1-E2
  6. Back Matter
    Pages 549-553

About this book


Growth in the pharmaceutical market has slowed down – almost to a standstill. One reason is that governments and other payers are cutting costs in a faltering world economy. But a more fundamental problem is the failure of major companies to discover, develop and market new drugs. Major drugs losing patent protection or being withdrawn from the market are simply not being replaced by new therapies – the pharmaceutical market model is no longer functioning effectively and most pharmaceutical companies are failing to produce the innovation needed for success. This multi-authored new book looks at a vital strategy which can bring innovation to a market in need of new ideas and new products: Systems Biology (SB). Modeling is a significant task of systems biology. SB aims to develop and use efficient algorithms, data structures, visualization and communication tools to orchestrate the integration of large quantities of biological data with the goal of computer modeling. It involves the use of computer simulations of biological systems, such as the networks of metabolites comprise signal transduction pathways and gene regulatory networks to both analyze and visualize the complex connections of these cellular processes. SB involves a series of operational protocols used for performing research, namely a cycle composed of theoretical, analytic or computational modeling to propose specific testable hypotheses about a biological system, experimental validation, and then using the newly acquired quantitative description of cells or cell processes to refine the computational model or theory.


computational systems biology integrative biology systems approach systems biology

Editors and affiliations

  • Aleš Prokop
    • 1
  • Béla Csukás
    • 2
  1. 1.Chemical and Biological EngineeringVanderbilt UniversityNashvilleUSA
  2. 2.Research Group on Process Network EngineeringKaposvár UniversityKaposvárHungary

Bibliographic information