Mathematical Biophysics

This book presents concise descriptions and analysis of the classical and modern models used in mathematical biophysics. The authors ask the question "what new information can be provided by the models that cannot be obtained directly from experimental data?" Actively developing fields suc...

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Bibliographic Details
Main Authors: Rubin, Andrew (Author), Riznichenko, Galina (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Boston, MA : Springer US : Imprint: Springer, 2014.
Series:Biological and Medical Physics, Biomedical Engineering,
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary:This book presents concise descriptions and analysis of the classical and modern models used in mathematical biophysics. The authors ask the question "what new information can be provided by the models that cannot be obtained directly from experimental data?" Actively developing fields such as regulatory mechanisms in cells and subcellular systems and electron transport and energy transport in membranes are addressed together with more classical topics such as metabolic processes, nerve conduction and heart activity, chemical kinetics, population dynamics, and photosynthesis. The main approach is to describe biological processes using different mathematical approaches necessary to reveal characteristic features and properties of simulated systems. With the emergence of powerful mathematics software packages such as MAPLE, Mathematica, Mathcad, and MatLab, these methodologies are now accessible to a wide audience. Provides succinct but authoritative coverage of a broad array of biophysical topics and models Written by authors at Moscow State University with its strong tradition in mathematics and biophysics Scope, coverage, and length make the book highly suitable for use in a one-semester course at the senior undergraduate/graduate level.
Physical Description:XV, 273 p. 150 illus., 43 illus. in color. online resource.
ISBN:9781461487029
ISSN:1618-7210