4. Prediction of One-Dimensional Structural Properties Of Proteins by Integrated Neural Networks

  1. Huzefa Rangwala2 and
  2. George Karypis3
  1. Yaoqi Zhou and
  2. Eshel Faraggi

Published Online: 7 SEP 2010

DOI: 10.1002/9780470882207.ch4

Introduction to Protein Structure Prediction: Methods and Algorithms

Introduction to Protein Structure Prediction: Methods and Algorithms

How to Cite

Zhou, Y. and Faraggi, E. (2010) Prediction of One-Dimensional Structural Properties Of Proteins by Integrated Neural Networks, in Introduction to Protein Structure Prediction: Methods and Algorithms (eds H. Rangwala and G. Karypis), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470882207.ch4

Editor Information

  1. 2

    Department of Computer Science, George Mason University, Fairfax, VA 22030, USA

  2. 3

    Department of Computer Science, University of Minnesota Minneapolis, MN 55455, USA

Author Information

  1. Indiana University School of Informatics, Indiana University-Purdue University Indianapolis, and Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA

Publication History

  1. Published Online: 7 SEP 2010
  2. Published Print: 12 NOV 2010

Book Series:

  1. Wiley Series on Bioinformatics: Computational Techniques and Engineering

Book Series Editors:

  1. Yi Pan and
  2. Albert Zomaya

ISBN Information

Print ISBN: 9780470470596

Online ISBN: 9780470882207

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Keywords:

  • prediction of one-dimensional structural properties of proteins - by integrated neural networks;
  • direct prediction of three-dimensional structures - from protein sequences, being challenging;
  • protein structure prediction, challenging problems - more accurate prediction of one-dimensional structural properties

Summary

This chapter contains sections titled:

  • Introduction

  • Local Structural Properties

  • Global Structural Properties

  • Spine and Real-Spine

  • Conclusion and Outlook

  • References