Chapter 8. Consensus Approaches to Protein Structure Prediction

  1. Yan-Qing Zhang4 and
  2. Jagath C. Rajapakse5
  1. Dongbo Bu1,2,
  2. Shuaicheng Li1,
  3. Xin Gao1,
  4. Libo Yu1,
  5. Jinbo Xu3 and
  6. Ming Li1

Published Online: 21 APR 2008

DOI: 10.1002/9780470397428.ch8

Machine Learning in Bioinformatics

Machine Learning in Bioinformatics

How to Cite

Bu, D., Li, S., Gao, X., Yu, L., Xu, J. and Li, M. (2008) Consensus Approaches to Protein Structure Prediction, in Machine Learning in Bioinformatics (eds Y.-Q. Zhang and J. C. Rajapakse), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470397428.ch8

Editor Information

  1. 4

    Georgia State University, Atlanta, Georgia

  2. 5

    School of Computer Engineering, and The Bioinformatics Research Center, Nanyang Technological University, Nanyang, Singapore

Author Information

  1. 1

    University of Waterloo, Waterloo, Ontario, Canada

  2. 2

    Institute of Computing Technology, China

  3. 3

    Toyota Technological Institute, Chicago, Illinois, USA

Publication History

  1. Published Online: 21 APR 2008
  2. Published Print: 12 NOV 2008

Book Series:

  1. Bioinformatics: Computational Techniques and Engineering

Book Series Editors:

  1. Professor Yi Pan and
  2. Professor Albert Y. Zomaya

ISBN Information

Print ISBN: 9780470116623

Online ISBN: 9780470397428

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Keywords:

  • fundamentals of consensus prediction problem;
  • classical algorithms for consensus prediction;
  • consensus approaches to protein structure prediction

Summary

This chapter contains sections titled:

  • Introduction

  • Fundamentals of Consensus Prediction Problem

  • Classical Algorithms for Consensus Prediction

  • ACE2: An Attempt to Reduce Server Correlation

  • The Method

  • Experiment Results

  • Concluding Remarks

  • Acknowledgments

  • References