Computational Systems Biology

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

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

".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