title: Dynamics of biological systems: role of systems biology in medical research.
abstract: Cellular systems are networks of interacting components that change with time in response to external and internal events. Studying the dynamic behavior of these networks is the basis for an understanding of cellular functions and disease mechanisms. Quantitative time-series data leading to meaningful models can improve our knowledge of human physiology in health and disease, and aid the search for earlier diagnoses, better therapies and a healthier life. The advent of systems biology is about to take the leap into clinical research and medical applications. This review emphasizes the importance of a dynamic view and understanding of cell function. We discuss the potential for computer-aided mathematical modeling of biological systems in medical research with examples from some of the major therapeutic areas: cancer, cardiovascular, diabetic and neurodegenerative medicine.
authors.affiliation: University of Rostock, Systems Biology and Bioinformatics Group, Department of Computer Science, 18051 Rostock, Germany. assmus@informatik.uni-rostock.de
authors.forename: Heike E
authors.initials: HE
authors.lastname: Assmus
authors.forename: Ralf
authors.initials: R
authors.lastname: Herwig
authors.forename: Kwang-Hyun
authors.initials: KH
authors.lastname: Cho
authors.forename: Olaf
authors.initials: O
authors.lastname: Wolkenhauer
mesh_terms: D000818:Animals; D035843:Biomedical Research / Q000379:methods*; D003198:Computer Simulation; D004194:Disease; D015195:Drug Design; D006801:Humans; D008954:Models, Biological; D049490:Systems Biology / Q000379:methods*