Fractals in Molecular Biophysics
Series: Topics in Physical Chemistry;
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63 210 Ft
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Product details:
- Publisher OUP USA
- Date of Publication 4 March 1999
- ISBN 9780195084474
- Binding Hardback
- No. of pages288 pages
- Size 229x152x20 mm
- Weight 599 g
- Language English
- Illustrations 95 line figures 0
Categories
Short description:
This book presents a unified treatment of the application of fractals in molecular biophysics. It brings together diverse applications of fractals under a format that moves from structural to dynamic problems. It aims to establish the utility of the fractal formalism when discussing the complex organization and dynamics of proteins, nucleic acids and biomembranes. The book is intended for two audiences, the biophysical chemist that is unfamiliar with fractals and the "practitioner" of fractals who is unfamiliar with biophysical problems.
MoreLong description:
Historically, science has strived to reduced complex problems to its simplest components, but more recently, it has recognized the merit of studying complex phenomena in situ. Fractal geometry is one such appealing approach, and this book discusses their application to complex problems in molecular biophysics. It provides a detailed, unified treatment of fractal aspects of protein and structure dynamics, fractal reaction kinetics in biochemical systems, sequence correlations in DNA and proteins, and descriptors of chaos in enzymatic systems. In an area that has been slow to acknowledge the use of fractals, this is an important addition to the literature, offering a glimpse of the wealth of possible applications. application to complex problems
MoreTable of Contents:
Preface
Chapter 1. What are Fractals?
Chapter 2. Fractal Aspects of Protein Structure
Chapter 3. Loops, Polymer Statistics, and Helix-Coil Transitions
Chapter 4. The Multifractality of Biomacromolecules
Chapter 5. Fractal Diffusion and Chemical Kinetics
Chapter 6. Are Protein Dynamics Fractal?
Chapter 7. Fractons and Vibrational Relaxation in Proteins
Chapter 8. Encoded Walks and Correlations in Sequence Data
Chapter 9. Percolation
Chapter 10. Chaos in Biochemical Systems
