Chapter 14. Integrative Models for the Prediction and Understanding of Protein Structure Patterns

  1. Francisco Azuaje2 and
  2. Joaquín Dopazo3,4
  1. Inge Jonassen

Published Online: 15 JUN 2005

DOI: 10.1002/0470094419.ch14

Data Analysis and Visualization in Genomics and Proteomics

Data Analysis and Visualization in Genomics and Proteomics

How to Cite

Jonassen, I. (2005) Integrative Models for the Prediction and Understanding of Protein Structure Patterns, in Data Analysis and Visualization in Genomics and Proteomics (eds F. Azuaje and J. Dopazo), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/0470094419.ch14

Editor Information

  1. 2

    School of Computing and Mathematics, University of Ulster at Jordanstown, BT37 0QB, Co. Antrim, Northern Ireland, UK

  2. 3

    Bioinformatics Unit, Centrol Nacional de Investigaciones Oncológicas, Melchor Fernández Almagro 3, E-28039 Madrid, Spain

  3. 4

    Spanish Cancer National Centre (CNIO), Madrid, Spain

Author Information

  1. Department of Informatics and Computational Biology Unit, Bergen Centre for Computational Science, University of Bergen, HIB, N-5020 Bergen, Norway

Publication History

  1. Published Online: 15 JUN 2005
  2. Published Print: 24 MAR 2005

ISBN Information

Print ISBN: 9780470094396

Online ISBN: 9780470094419

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Keywords:

  • protein structure;
  • protein structure prediction;
  • structure comparison;
  • classification;
  • Rosetta algorithm;
  • CATH database;
  • SCOP (Structural Classification of Proteins) database;
  • SAP – Structure Alignment Program;
  • Geometric hashing (GH);
  • SPratt and Sprek methods

Summary

This chapter contains sections titled:

  • Introduction

  • Structure Prediction

  • Classifications of Structures

  • Comparing Protein Structures

  • Methods for the Discovery of Structure Motifs

  • Discussion and Conclusions

  • References