Book Details
| Author | Kerson Huang |
| Publisher | World Scientific |
| Year | 2005 |
| Language | English |
| Pages | 144 (xiii, 144 p.) |
| Size | 2.79 MB |
| Extension | |
| ISBN | 978-981-256-143-5 (hardcover) / 978-981-256-150-3 (paperback) / 978-981-256-938-7 (eBook) |
| Edition | First Edition |
Summary
Lectures On Statistical Physics And Protein Folding by Kerson Huang is a concise yet comprehensive introduction to the intersection of statistical physics and molecular biology. The book originated from a series of lectures delivered by the author at the Zhou Pei-Yuan Center for Applied Mathematics at Tsinghua University, with the goal of introducing biological research to scientists from other disciplines[reference:0].
The book is divided into two distinct but complementary parts. The first ten chapters provide a thorough review of statistical mechanics and kinetic theory, covering essential topics such as entropy, the Maxwell-Boltzmann distribution, free energy, chemical potential, phase transitions, and the dynamics of phase transitions[reference:1]. Special attention is given to stochastic processes, illustrated through the Langevin equation and Brownian motion, which serve as a bridge to the biological applications that follow[reference:2].
The second half of the book shifts focus to molecular biology and protein structure. Chapters 11 through 16 explore the life process, self-assembly, the kinetics of protein folding, power laws in protein folding, the self-avoiding walk and turbulence, and convergent evolution in protein folding[reference:3]. The author proposes a mathematical model of energy cascade in a protein molecule, based on the Brownian motion of coupled harmonic oscillators, which is detailed in the appendix[reference:4].
What makes this book unique is its approach to protein folding from the perspective of kinetic theory. While there is an abundance of experimental data on protein folding, few theoretical proposals address the mechanism driving the process. Huang presents, for the first time, suggestions on possible research directions, developed in collaboration with C. C. Lin[reference:5]. The book thus serves as both a textbook for students and a research monograph for scientists interested in the physical principles underlying biological self-organization.
This book is recommended for graduate students, researchers, and professionals in statistical physics, biophysics, molecular biology, and applied mathematics. It is particularly valuable for those seeking to understand how the tools of statistical mechanics can be applied to complex biological problems such as protein folding, self-assembly, and energy transfer in macromolecules.
Key Features
- Comprehensive coverage of statistical physics: Includes entropy, Maxwell-Boltzmann distribution, free energy, chemical potential, and phase transitions.
- Kinetic theory approach to protein folding: Presents a novel perspective on the mechanism driving protein folding.
- Clear and accessible presentation: Originated from lectures at Tsinghua University, designed for interdisciplinary audiences.
- Mathematical models: Provides a detailed model of energy cascade in a protein molecule based on Brownian motion of coupled harmonic oscillators.
- Bridging theory and experiment: Connects statistical mechanics with experimental data on protein folding.
- Exploration of power laws: Investigates power-law behavior in protein folding kinetics.
- Discussion of self-assembly and life processes: Links physical principles to biological self-organization.
- Stochastic processes and Langevin equation: Introduces essential tools for modeling biological systems.
- Up-to-date research directions: Suggests new avenues for research in protein folding and biophysics.
- Concise format: Ideal for a one-semester course or self-study.
About the Author
Kerson Huang (1928–2016) was a Chinese-born American theoretical physicist and translator[reference:6]. He was born in Nanning, China, and grew up in Manila, Philippines[reference:7]. He earned his B.S. and Ph.D. in physics from the Massachusetts Institute of Technology in 1950 and 1953, respectively[reference:8].
Huang made significant contributions to statistical physics, quantum field theory, and the theory of critical phenomena. He is best known for his classic textbook Statistical Mechanics, which has been a standard reference for generations of physicists[reference:9]. He also authored Introduction to Statistical Physics and several other influential works[reference:10].
In addition to his research and teaching, Huang was a prolific translator, bringing important Chinese literary works to English-speaking audiences. His interdisciplinary interests led him to explore the application of physical principles to biological problems, culminating in this unique set of lectures on statistical physics and protein folding.
Related Books
- Statistical Mechanics – Kerson Huang
- Introduction to Statistical Physics – Kerson Huang
- Protein Folding – M. B. Jackson (Editor)
- Molecular Biology of the Gene – James D. Watson et al.
- Physical Biology of the Cell – Rob Phillips, Jane Kondev, Julie Theriot
- Biophysics: Searching for Principles – William Bialek
- Statistical Physics of Biomolecules: An Introduction – Daniel M. Zuckerman
- Introduction to Protein Structure – Carl-Ivar Brändén, John Tooze
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Frequently Asked Questions
1. What is the main focus of this book?
This book focuses on the intersection of statistical physics and protein folding. It introduces an approach to protein folding from the perspective of kinetic theory, presenting suggestions on possible research directions developed by the author in collaboration with C. C. Lin.
2. Who is the target audience for this book?
The book is aimed at graduate students, researchers, and professionals in statistical physics, biophysics, molecular biology, and applied mathematics. It is particularly suitable for those interested in applying physical principles to biological problems.
3. What are the prerequisites for reading this book?
Readers should have a basic background in calculus, classical mechanics, and thermodynamics. Some familiarity with statistical mechanics and molecular biology is helpful but not strictly required, as the book provides a concise review of essential topics.
4. What topics are covered in the book?
The book covers entropy, the Maxwell-Boltzmann distribution, free energy, chemical potential, phase transitions, kinetics of phase transitions, the order parameter, correlation functions, stochastic processes, the Langevin equation, the life process, self-assembly, kinetics of protein folding, power laws in protein folding, self-avoiding walks and turbulence, convergent evolution in protein folding, and a model of energy cascade in a protein molecule.
5. Does the book include mathematical models?
Yes, the book includes a mathematical model of energy cascade in a protein molecule, based on the Brownian motion of coupled harmonic oscillators, which is worked out in the appendix.
6. How is this book different from other books on protein folding?
This book approaches protein folding from the point of view of kinetic theory, emphasizing the physical mechanisms driving the process. It also presents original research directions developed by the author, making it both a textbook and a research monograph.
7. Is this book suitable for self-study?
Yes, the book is based on a series of lectures and is designed to be accessible for self-study. The clear presentation and concise format make it ideal for independent learners with the appropriate background.
8. What is the significance of power laws in protein folding?
Power laws describe scaling relationships in the kinetics of protein folding, providing insights into the underlying physical processes. The book dedicates a chapter to this topic, exploring its implications for understanding folding mechanisms.
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