Presents a synthesis of experimental biological techniques and concepts of systems analysis and modeling, examining the regulation of biological systems, especially cellular signalling networks, from a systems-oriented viewpoint, and showing how data can be converted into a consistent computer model that comprises functional properties of the system. Part I discusses experimental techniques, emphasizing various types of microscopy and image analysis. Part II details the development of a computer model from experimental data. Includes b&w and a few color images. Of interest to cell and molecular biologists, oncologists, physiologists, theoretical biologists, and computer scientists, and advanced students in these fields. Annotation c. by Book News, Inc., Portland, Or.
Structured Biological Modelling presents a straightforward introduction for computer-aided analysis, mathematical modelling, and simulation of cell biological systems
Structured Biological Modelling presents a straightforward introduction for computer-aided analysis, mathematical modelling, and simulation of cell biological systems. This unique guide brings together the physiological, structural, molecular biological, and theoretical aspects of the signal transduction network that regulates growth and proliferation in normal and tumor cells. It provides comprehensive survey of functional and theoretical features of intracellular signal processing and introduces the concept of cellular self-organization. Exemplified by oscillatory calcium waves, strategies for the design of computer experiments are presented that can assist or even substitute for time-consuming biological experiments. The presented minimal model for proliferation-associated signal transduction clearly shows the alterations of the cellular signal network involved in neoplastic growth. This book will be useful to cell and molecular biologists, oncologists, physiologists, theoretical biologists, computer scientists, and all other researchers and students studying functional aspects of cellular signaling.