Biological Kinetics

by Lee A. Segel

Overview

The central purpose of this book is to illustrate the premise that examination of the kinetics of biological processes can give valuable information concerning the underlying mechanisms that are responsible for these processes. Topics covered range from cooperativity in protein binding, through receptor-infector coupling, to theories of biochemical oscillations in yeast and slime mold. In addition, an introduction to the explosively growing theoretical topic of chaos details attempts to apply this theory in physiology. The material in this book originally appeared as part of the volume Mathematical Models in Molecular and Cellular Biology (edited by Lee A. Segel and now out of print). Each article has been revised and updated.

Product Details

ISBN-13:	9780521064095
Publisher:	Cambridge University Press
Publication date:	06/05/2008
Series:	Cambridge Studies in Mathematical Biology , #12
Pages:	232
Product dimensions:	5.98(w) x 9.02(h) x 0.51(d)

Table of Contents

Preface; Fundamental concepts in biochemical reaction theory; Equilibrium binding of macromolecules with ligands; Allosteric and induced-fit theories of protein binding; Positive and negative cooperativity; Graphical representations for tetramer binding; Enzyme induction; Molecular models for receptor to adenylate cyclase coupling; Models for oscillations and excitability in biochemical systems; Control of neurotransmitter release: use of facilitation to analyze the regulation of intracellular calcium; Acceptable and unacceptable models of liver regeneration in the rat; Chaos; Index.

Editorial Reviews

"...very valuable...." Ken Howard, British Society for Developmental Biology Newsletter

"...a useful introduction to an important branch of mathematical biology and a worthy addition to the Cambridge Studies in Mathematical Biology series." A. Abakuks, Biometrics

"...a first rate introduction to, or review of, methods for analyzing biological kinetic data....can be read by either mathematically or biochemically trained scientists. Both groups will gain a better understanding of the other's work." Carla Wofsy, Mathematical Biosciences

From the Publisher