14. Model Quality Assessment Using a Statistical Program that Adopts a Side Chain Environment Viewpoint

  1. Huzefa Rangwala2 and
  2. George Karypis3
  1. Genki Terashi,
  2. Mayuko Takeda-Shitaka,
  3. Kazuhiko Kanou and
  4. Hideaki Umeyama

Published Online: 7 SEP 2010

DOI: 10.1002/9780470882207.ch14

Introduction to Protein Structure Prediction: Methods and Algorithms

Introduction to Protein Structure Prediction: Methods and Algorithms

How to Cite

Terashi, G., Takeda-Shitaka, M., Kanou, K. and Umeyama, H. (2010) Model Quality Assessment Using a Statistical Program that Adopts a Side Chain Environment Viewpoint, 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.ch14

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 Pharmacy, Kitasato University, Tokyo 108-8641, Japan

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 assessment, using statistical program - adopting a side chain environment viewpoint;
  • accurate prediction of protein structures - major challenges in bioinformatics field;
  • MQAPs methods, CIRCLE and META selector, server fams-ace2 - successes and failures of approaches during CASP7 and CASP8

Summary

This chapter contains sections titled:

  • Introduction

  • Background

  • The Circle Algorithm: An MQAP

  • The FAMS-ACE2 (Circle + Consensus Method) Algorithm

  • Conclusions

  • References