Protein Structure Prediction: A Practical Approach / Edition 1

Protein Structure Prediction: A Practical Approach / Edition 1

by Michael J. E. Sternberg, M. Sternberg
ISBN-10:
0199634963
ISBN-13:
9780199634965
Pub. Date:
03/28/1997
Publisher:
Oxford University Press, USA

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Overview

Protein Structure Prediction: A Practical Approach / Edition 1

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, USA
Publication date: 03/28/1997
Series: Practical Approach Series , #170
Edition description: New Edition
Pages: 320
Product dimensions: 6.13(w) x 9.25(h) x 0.65(d)

Table of Contents

1. Protein structure prediction - principles and approaches
2. Protein sequence alignment and database scanning
3. Identification of protein sequence motifs
4. Prediction of secondary structure
5. Prediction of transmembrane protein topology
6. Comparative modelling of proteins
7. Antibody combining sites: structure and prediction
8. Protein folds and their recognition from sequence
9. The combinatorial approach
10. Modelling protein conformation by molecular mechanics and dynamics
11. Docking ligands to proteins
12. The prediction challenge

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