(Ebook) Statistical Physics of Biomolecules : An Introduction by Zuckerman, Daniel M ISBN 9781420073799, 1420073796

(Ebook) Statistical Physics of Biomolecules : An Introduction by Zuckerman, Daniel M ISBN 9781420073799, 1420073796

Front cover; Contents; Preface; Acknowledgments; Chapter 1: Proteins Don't Know Biology; Body; 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 WaterChapter 9: Basics of Binding and Allostery; Chapter 10: Kinetics of Conformational Changeand Protein Folding; Chapter 11: Ensemble Dynamics: From Trajectories to Diffusion and Kinetics; Chapter 12: A Statistical Perspective on Biomolecular Simulation; Index; Back cover.Proteins Don't Know BiologyPrologue: Statistical Physics of Candy, Dirt, and Biology Guiding Principles About This Book Molecular Prologue: A Day in the Life of Butane What Does Equilibrium Mean to a Protein? A Word on Experiments Making Movies: Basic Molecular Dynamics Simulation Basic Protein Geometry A Note on the Chapters The Heart of It All: Probability Theory Introduction Basics of One-Dimensional Distributions Fluctuations and Error Two+ Dimensions: Projection and Correlation Simple Statistics Help Reveal a Motor Protein's Mechanism Additional Problems: Trajectory Analysis Big Lessons f. Abstract: Designed especially for students from non-physics and non-chemistry backgrounds, this book covers elementary statistical mechanics and the thermodynamics necessary to understand fundamental biophysical phenomena, maintaining a probabilistic view throughout. It explains the theory behind interpreting the physics and statistics of many experiments.