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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
This book investigates the utility of mathematical models in understanding biological and medical phenomena. It explores how these models can provide insights beyond direct experimental observation, covering actively developing fields like cellular regulatory mechanisms and membrane transport, alongside classical topics such as metabolic processes, nerve conduction, and population dynamics. The authors employ diverse mathematical approaches to reveal characteristic features of simulated biological systems, making these methodologies accessible through modern software packages.
The book is presented as a concise yet authoritative overview of a broad range of biophysical topics and models. Written by authors from Moscow State University, it benefits from a strong tradition in mathematics and biophysics. Its scope, coverage, and length are specifically noted as making it highly suitable for a one-semester course at the senior undergraduate or graduate level.
Page Count:
273
Publication Date:
2013-01-01
ISBN-10:
1461487013
ISBN-13:
9781461487012
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