Chapter 11. Predictive Methods Using Protein Sequences

  1. Andreas D. Baxevanis1 and
  2. B. F. Francis Ouellette2
  1. Sharmila Banerjee-Basu and
  2. Andreas D. Baxevanis

Published Online: 11 JAN 2002

DOI: 10.1002/0471223921.ch11

Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins, Volume 43, Second Edition

Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins, Volume 43, Second Edition

How to Cite

Banerjee-Basu, S. and Baxevanis, A. D. (2002) Predictive Methods Using Protein Sequences, in Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins, Volume 43, Second Edition (eds A. D. Baxevanis and B. F. F. Ouellette), John Wiley & Sons, Inc., New York, USA. doi: 10.1002/0471223921.ch11

Editor Information

  1. 1

    Genome Technology Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland

  2. 2

    Centre for Molecular Medicine and Therapeutics, Children's and Women's Health Centre of British Columbia, University of British Columbia Vancouver, British Columbia, Canada

Author Information

  1. Genome Technology Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland

Publication History

  1. Published Online: 11 JAN 2002
  2. Published Print: 20 APR 2001

ISBN Information

Print ISBN: 9780471383901

Online ISBN: 9780471223924

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Keywords:

  • predictive methods;
  • protein sequences;
  • protein identity;
  • composition;
  • physical properties;
  • motifs;
  • patterns;
  • secondary structure;
  • folding classes;
  • specialized structures;
  • tertiary structure

Summary

This chapter presents an overview of methods available for making scientific discoveries from sequence-based data at the protein level, not involving direct comparison to other sequences (as in previous sections). A problem set appears at the end of the chapter.