Dynamic Systems Biology Modeling and Simulation

Dynamic Systems Biology: Modeling and Simulation Dynamic Systems Biology: Modeling and Simulation by Joseph DiStefano III presents a systematic introduction to mathematical modeling and computer simulation of biological systems across multiple scales, from molecular and cellular processes to organs and populations. The book combines biological principles with mathematical methods, including differential equations, probability, statistics, and network analysis. It emphasizes building, testing, and improving models using real biological data, with practical coverage of parameter estimation, sensitivity analysis, model validation, and experimental design. Computational examples and supporting software resources help students and researchers apply these methods to real-world biological and biomedical problems. Key Features Introduces mathematical modeling and simulation of dynamic biological systems. Covers biological processes at molecular, cellular, organ-system, and population levels. Explains linear and nonlinear differential and difference equations. Introduces Laplace transforms, linear algebra, probability, and statistical methods. Integrates relevant biology, biochemistry, biophysics, and pharmacology. Explores structural models, multicompartmental systems, networks, and graph theory. Explains parameter identifiability and sensitivity analysis. Covers parameter estimation using real biological data. Discusses model comparison, distinguishability, and simplification. Introduces practical approaches to biological experiment design and optimization. Includes computational examples and exercises supported by modeling software. Provides supplementary resources, including program code and teaching materials, to support learning and instruction.