Computational Systems Biology

Computational Systems Biology, 2nd Edition

From Molecular Mechanisms to Disease

Computational Systems Biology, 2nd Edition,Andres Kriete,Roland Eils,ISBN9780124059269

Kriete   &   Eils   

Academic Press




235 X 191

This comprehensively revised new edition reviews fundamentals and recent breakthroughs in computational simulation and multi-scale analysis techniques across biological systems, with new chapters covering complex systems and emerging phenotypes.

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Key Features

  • Logical information flow aids understanding of basic building blocks of life through disease phenotypes
  • Evolved principles gives insight into underlying organizational principles of biological organizations, and systems processes, governing functions such as adaptation or response patterns
  • Coverage of technical tools and systems helps researchers to understand and resolve specific systems biology problems using advanced computation
  • Multi-scale modeling on disparate scales aids researchers understanding of dependencies and constraints of spatio-temporal relationships fundamental to biological organization and function.


This comprehensively revised second edition of Computational Systems Biology discusses the experimental and theoretical foundations of the function of biological systems at the molecular, cellular or organismal level over temporal and spatial scales, as systems biology advances to provide clinical solutions to complex medical problems. In particular the work focuses on the engineering of biological systems and network modeling.


Graduate students and researchers in Bioinformatics, Biocomputing, Theoretical Biology, Biochemistry/Biophysics, and Cell Biology.

Andres Kriete

Associate Professor for Bioinformation Engineering at Drexel University, Philadelphia and Director of the Biocomputing Laboratory at the Coriell Institute for Medical Research

Affiliations and Expertise

Drexel University, Philadelphia, PA and Coriell Institute for Medical Research, Camden, NJ, USA

Roland Eils

Professor of Bioinformatics at the University of Heidelberg and Director of the Division of Theoretical Bioinformatics at the German Cancer Research Center (DKFZ) in Heidelberg

Affiliations and Expertise

Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, and Bioinformatics and Functional Genomics, Institute of Pharmacy and Molecular Biotechnology, University of Heidelberg, Germany

Computational Systems Biology, 2nd Edition

Introducing Computational Systems Biology; Protein Interactions, Stability and Regulation ; Transcriptional control; Introduction to Computational Models of Biochemical Reaction Networks; Biological Foundations of Signal Transduction and Aberrations in Disease; A discrete approach to top-down modeling of biochemical networks; Reconstruction of metabolic network from genome information and its structural and functional analysis; Gene networks: estimation, modeling and simulation; Standards, platforms and tools; Computational models for circadian rhythms: Deterministic versus stochastic approaches; Integrated imaging informatics; Imaging and Modeling of complex tumor formation; Imaging to help decipher an model higher orders of complexity; Multistability and multicellularity: cell fates as high-dimensional attractors of gene regulatory networks; Whole Cell Modeling; Databases for Systems Biology; Systems Biology of the Microbiome; Systems Immunology; Applying systems biology to understand the immune response to infection and vaccination; Aging and Systems Biology; From Cardiac Mitochondria to Systems Physiology; Cancer Systems Biology; Systems Medicine, Drug Biology and Interventions; Towards a blueprint of an entire organism

Quotes and reviews

"…revised and updated to include the latest advances in cancer, aging, and development modeling research. The first chapter introduces the field and reviews the content to follow, while the ensuing six chapters lay the foundations of modeling networks, systems analysis, biochemistry, and signal transduction underlying the systems approach,…"--ProtoView.com, April 2014


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