- 356 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
About this book
It is essential for modern students of molecular behavior to understand the statistical/chemical physics at the heart of modern molecular science. But traditional presentations of this material are often difficult to penetrate. This volume brings "down to earth" some of the most intimidating but important theories of molecular biophysics. Students build understanding by focusing on topics such as probability theory, low-dimensional models, and the simplest molecular systems. The book's accessible development of equilibrium and dynamical statistical physics makes this a valuable text for students with limited physics and chemistry backgrounds.
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Yes, you can access Statistical Physics of Biomolecules by Daniel M. Zuckerman in PDF and/or ePUB format, as well as other popular books in Mathematics & Biology. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Front Cover
- Dedication
- Contents
- Preface
- Acknowledgments
- Chapter 1 - Proteins Don’t Know Biology
- Chapter 2 - The Heart of It All: Probability Theory
- Chapter 3 - Big Lessons from Simple Systems: Equilibrium Statistical Mechanics in One Dimension
- Chapter 4 - Nature Doesn’t Calculate Partition Functions: Elementary Dynamics and Equilibrium
- Chapter 5 - Molecules Are Correlated!Multidimensional Statistical Mechanics
- Chapter 6 - From Complexity to Simplicity: The Potential of Mean Force
- Chapter 7 - What’s Free about “Free” Energy? Essential Thermodynamics
- Chapter 8 - The Most Important Molecule: Electro-Statistics of Water
- Chapter 9 - Basics of Binding and Allostery
- Chapter 10 - Kinetics of Conformational Change and Protein Folding
- Chapter 11 - Ensemble Dynamics: From Trajectories to Diffusion and Kinetics
- Chapter 12 - A Statistical Perspective on Biomolecular Simulation
- Back Cover