15. Model Quality Prediction

  1. Huzefa Rangwala2 and
  2. George Karypis3
  1. Liam J. McGuffin

Published Online: 7 SEP 2010

DOI: 10.1002/9780470882207.ch15

Introduction to Protein Structure Prediction: Methods and Algorithms

Introduction to Protein Structure Prediction: Methods and Algorithms

How to Cite

McGuffin, L. J. (2010) Model Quality Prediction, 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.ch15

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. School of Biological Sciences, The University of Reading, Reading, UK

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:

  • model quality prediction (MQAP), role of MQAPs - scores aiming to predict overall quality, or per-residue quality of each 3D model;
  • machine learning-based MQAPs as ProQ - more effective, ProSA and VERIFY3D, at enhancing model selection;
  • CASP7 QA category, data formats and standards - in evaluating and categorizing QAP methods

Summary

This chapter contains sections titled:

  • Introduction

  • A Brief History of Model Quality Assessment

  • State-of-The-Art Methods

  • Per-Residue Model Quality Prediction

  • The Assessment of Model Quality Assessment

  • Online Resources

  • Conclusions and Future Directions for Developers

  • References