LECTURES ON STATISTICAL PHYSICS AND PROTEIN FOLDING
by Kerson Huang (Massachusetts Institute of Technology)
This book introduces an approach to protein folding from the point of view of kinetic theory. There is an abundance of data on protein folding, but few proposals are available on the mechanism driving the process. Here, presented for the first time, are suggestions on possible research directions, as developed by the author in collaboration with C C Lin.
The first half of this invaluable book contains a concise but relatively complete review of relevant topics in statistical mechanics and kinetic theory. It includes standard topics such as thermodynamics, the Maxwell�Boltzmann distribution, and ensemble theory. Special discussions include the dynamics of phase transitions, and Brownian motion as an illustration of stochastic processes.
The second half develops topics in molecular biology and protein structure, with a view to discovering mechanisms underlying protein folding. Attention is focused on the energy flow through the protein in its folded state. A mathematical model, based on the Brownian motion of coupled harmonic oscillators, is worked out in the appendix.
Contents:
- Entropy
- Maxwell-Boltzmann Distribution
- Free Energy
- Chemical Potential
- Phase Transitions
- Kinetics of Phase Transitions
- The Order Parameter
- Correlation Function
- Stochastic Processes
- Langevin Equation
- The Life Process
- Self-Assembly
- Kinetics of Protein Folding
- Power Laws in Protein Folding
- Self-Avoiding Walk and Turbulence
- Convergent Evolution in Protein Folding
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Readership: Graduate students, researchers and academics interested in
statistical physics and molecular biology.
"My particularly favorite is the chapter on order parameters, explaining with simplicity and clarity this subject so frequently difficult and confusing for the beginning students ... the book makes a strong attempt to place the protein folding problem where it really belongs � in the context of fundamental statistical mechanics. Whether the attempt is successful or not is a matter of a reader�s opinion, but the very direction is both timely and welcome."
Professor Alexander Grosberg
University of Minnesota |
