Protein Structure Prediction: A Practical Approach
The prediction of the three-dimensional structure of a protein from its amino acid sequence is a problem faced by an increasing number of biological scientists. This book provides a practical guide to making these predictions by reviewing strategies of different computer modeling algorithms and highlighting the degree of confidence attributed to them. Also in the volume are descriptions of the following: the principles of protein folding; sequence homology and motif searches; prediction of secondary structure; homology modeling; modeling of antibody combining sites; tertiary fold recognition; modeling of transmembrane proteins; ab initio prediction; protein-ligand docking simulations; and the use of molecular mechanics and dynamics. both non-specialists who require guidance to identify and evaluate appropriate strategies and experts who require a contemporary view of the field, will find this volume a worthy addition to their research libraries.
1101395160
Protein Structure Prediction: A Practical Approach
The prediction of the three-dimensional structure of a protein from its amino acid sequence is a problem faced by an increasing number of biological scientists. This book provides a practical guide to making these predictions by reviewing strategies of different computer modeling algorithms and highlighting the degree of confidence attributed to them. Also in the volume are descriptions of the following: the principles of protein folding; sequence homology and motif searches; prediction of secondary structure; homology modeling; modeling of antibody combining sites; tertiary fold recognition; modeling of transmembrane proteins; ab initio prediction; protein-ligand docking simulations; and the use of molecular mechanics and dynamics. both non-specialists who require guidance to identify and evaluate appropriate strategies and experts who require a contemporary view of the field, will find this volume a worthy addition to their research libraries.
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Protein Structure Prediction: A Practical Approach

Protein Structure Prediction: A Practical Approach

by Michael J. E. Sternberg (Editor)
Protein Structure Prediction: A Practical Approach

Protein Structure Prediction: A Practical Approach

by Michael J. E. Sternberg (Editor)

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Overview

The prediction of the three-dimensional structure of a protein from its amino acid sequence is a problem faced by an increasing number of biological scientists. This book provides a practical guide to making these predictions by reviewing strategies of different computer modeling algorithms and highlighting the degree of confidence attributed to them. Also in the volume are descriptions of the following: the principles of protein folding; sequence homology and motif searches; prediction of secondary structure; homology modeling; modeling of antibody combining sites; tertiary fold recognition; modeling of transmembrane proteins; ab initio prediction; protein-ligand docking simulations; and the use of molecular mechanics and dynamics. both non-specialists who require guidance to identify and evaluate appropriate strategies and experts who require a contemporary view of the field, will find this volume a worthy addition to their research libraries.

Product Details

ISBN-13: 9780199634965
Publisher: Oxford University Press
Publication date: 01/30/1997
Series: Practical Approach Series , #170
Edition description: New Edition
Pages: 318
Product dimensions: 6.13(w) x 9.25(h) x 0.65(d)

About the Author

Imperial Cancer Research Fund, London

Table of Contents

1. Protein structure prediction - principles and approaches2. Protein sequence alignment and database scanning3. Identification of protein sequence motifs4. Prediction of secondary structure5. Prediction of transmembrane protein topology6. Comparative modelling of proteins7. Antibody combining sites: structure and prediction8. Protein folds and their recognition from sequence9. The combinatorial approach10. Modelling protein conformation by molecular mechanics and dynamics11. Docking ligands to proteins12. The prediction challenge
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