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An Introduction to Protein Contact Prediction

  • Nicholas Hamilton
  • Thomas Huber
Part of the Methods in Molecular Biology™ book series (MIMB, volume 453)

Abstract

A fundamental problem in molecular biology is the prediction of the three-dimensional structure of a protein from its amino acid sequence. However, molecular modeling to find the structure is at present intractable and is likely to remain so for some time, hence intermediate steps such as predicting which residues pairs are in contact have been developed. Predicted contact pairs have been used for fold prediction, as an initial condition or constraint for molecular modeling, and as a filter to rank multiple models arising from homology modeling. As contact prediction has advanced it is becoming more common for 3D structure predictors to integrate contact prediction into structure building, as this often gives information that is orthogonal to that produced by other methods. This chapter shows how evolutionary information contained in protein sequences and multiple sequence alignments can be used to predict protein structure, and the state-of-the-art predictors and their methodologies are reviewed.

Key words

Protein structure prediction contact prediction contact map multiple sequence alignments CASP 

Notes

Acknowledgments

The authors gratefully acknowledge financial support from the University of Queensland, the ARC Australian Centre for Bio-informatics and the Institute for Molecular Bioscience. The first author would also like to acknowledge the support of Prof. Kevin Burrage's Australian Federation Fellowship.

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Copyright information

© Humana Press, a part of Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Nicholas Hamilton
    • 1
  • Thomas Huber
    • 2
  1. 1.ARC Centre of Excellence in Bioinformatics, Institute for Molecular Bioscience and Advanced Computational Modelling CentreThe University of QueenslandBrisbaneAustralia
  2. 2.School of Molecular and Microbial Sciences and Australian Institute for Bioengineering and NanotechnologyThe University of QueenslandBrisbaneAustralia

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