株式会社極東書店トップ商品一覧Statistical Physics of Biomolecules: An Introduction.

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Statistical Physics of Biomolecules: An Introduction.

Statistical Physics of Biomolecules: An Introduction.

・ISBN 978-1-4200-7378-2 hard GB£ 145.99

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お気に入り
電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 9780429150746
著者・編者Zuckerman, Daniel M.,
出版社 (CRC Press Inc, US)
出版年月2010
ページ数356 pp.
言語ENG
ニュース番号<A00-51326>

解説

From the hydrophobic effect to protein-ligand binding, statistical physics is relevant in almost all areas of molecular biophysics and biochemistry, making it essential for modern students of molecular behavior. But traditional presentations of this material are often difficult to penetrate. Statistical Physics of Biomolecules: An Introduction brings "down to earth" some of the most intimidating but important theories of molecular biophysics.

With an accessible writing style, the book unifies statistical, dynamic, and thermodynamic descriptions of molecular behavior using probability ideas as a common basis. Numerous examples illustrate how the twin perspectives of dynamics and equilibrium deepen our understanding of essential ideas such as entropy, free energy, and the meaning of rate constants. The author builds on the general principles with specific discussions of water, binding phenomena, and protein conformational changes/folding. The same probabilistic framework used in the introductory chapters is also applied to non-equilibrium phenomena and to computations in later chapters. The book emphasizes basic concepts rather than cataloguing a broad range of phenomena.

Focuses on what students need to know now

Students build a foundational understanding by initially focusing on probability theory, low-dimensional models, and the simplest molecular systems. The basics are then directly developed for biophysical phenomena, such as water behavior, protein binding, and conformational changes. The book's accessible development of equilibrium and dynamical statistical physics makes this a valuable text for students with limited physics and chemistry backgrounds.