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Foundations of Biochemistry and Biophysics Ser.: Entropy and Free Energy in Stru - Picture 1 of 1
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Foundations of Biochemistry and Biophysics Ser.: Entropy and Free Energy in Stru

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eBay item number:385187842334
Last updated on 27 Dec, 2022 21:36:36 AEDSTView all revisionsView all revisions

Item specifics

Condition
Brand new: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Subject Area
Biochemistry
ISBN
9780367406929

About this product

Product Identifiers

Publisher
Taylor & Francis Group
ISBN-10
0367406926
ISBN-13
9780367406929
eBay Product ID (ePID)
21038295429

Product Key Features

Number of Pages
252 Pages
Language
English
Publication Name
Entropy and Free Energy in Structural Biology : From Thermodynamics, Statistical Mechanics and Computer Simulation
Subject
Life Sciences / Biophysics, Computer Simulation, Physics / General, Mechanics / Thermodynamics
Publication Year
2020
Type
Textbook
Subject Area
Computers, Science
Author
Hagai Meirovitch
Series
Foundations of Biochemistry and Biophysics Ser.
Format
Hardcover

Dimensions

Item Weight
16 Oz
Item Length
11 in
Item Width
8.5 in

Additional Product Features

Intended Audience
College Audience
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
572
Table Of Content
PART I. Probability Theory1. Probability and its applicationsPART II. Equilibrium Thermodynamics and Statistical Mechanics2. Classical Thermodynamics3. From Thermodynamics to Statistical mechanics 4. Ideal gas and the harmonic Oscillator5. Fluctuations and the most probable energy 6. Various ensembles7. Phase transitions8. Ideal polymer chains 9. Chains with excluded volume PART III. Basic Simulation Techniques and Non-Equilibrium Problems10. The Metropolis Monte Carlo and molecular dynamics 11. Non-equilibrium thermodynamics- Onsager theory12. Non-equilibrium statistical mechanics13. The Master EquationPART IV. Advanced simulation methods. polymers and biological macromolecus14. Growth simulation methods for polymers 15. The pivot algorithm and hybrid techniques16. Models of proteins 17. Calculation of the entropy and the free energy by thermodynamic integration 18. Direct calculation of the absolute entropy and free energy 19. Calculation of the absolute entropy from a single Boltzmann sample 20. The potential of mean force, umbrella sampling and related techniques 21Advanced simulation and free energy techniques22. Simulation of the chemical potential23. The absolute free energy of binding
Synopsis
Computer simulation has become the main engine of development in statistical mechanics. In structural biology, computer simulation constitutes the main theoretical tool for structure determination of proteins and for calculation of the free energy of binding, which are important in drug design. Entropy and Free Energy in Structural Biology leads the reader to the simulation technology in a systematic way. The book, which is structured as a course, consists of four parts: Part I is a short course on probability theory emphasizing (1) the distinction between the notions of experimental probability , probability space , and the experimental probability on a computer , and (2) elaborating on the mathematical structure of product spaces . These concepts are essential for solving probability problems and devising simulation methods, in particular for calculating the entropy. Part II starts with a short review of classical thermodynamics from which a non-traditional derivation of statistical mechanics is devised. Theoretical aspects of statistical mechanics are reviewed extensively. Part III covers several topics in non-equilibrium thermodynamics and statistical mechanics close to equilibrium , such as Onsager relations, the two Fick's laws, and the Langevin and master equations. The Monte Carlo and molecular dynamics procedures are discussed as well. Part IV presents advanced simulation methods for polymers and protein systems, including techniques for conformational search and for calculating the potential of mean force and the chemical potential. Thermodynamic integration, methods for calculating the absolute entropy, and methodologies for calculating the absolute free energy of binding are evaluated. Enhanced by a number of solved problems and examples, this volume will be a valuable resource to advanced undergraduate and graduate students in chemistry, chemical engineering, biochemistry biophysics, pharmacology, and computational biology.

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