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Bioinformatics Advance Access originally published online on January 15, 2009
Bioinformatics 2009 25(5):628-635; doi:10.1093/bioinformatics/btp032
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© The Author 2009. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

DTA: dihedral transition analysis for characterization of the effects of large main-chain dihedral changes in proteins

Wataru Nishima 1, Guoying Qi 2, Steven Hayward 2,3 and Akio Kitao 4,5,*

1Department of Computational Biology, Graduate School of Frontier Sciences, The University of Tokyo, Japan, 2School of Computing Sciences, 3School of Biological Sciences, University of East Anglia, Norwich, NR4 7TJ, UK, 4Institute of Molecular and Cellular Biosciences, The University of Tokyo and 5JST, CREST, 1-1-1 Yayoi, Bunkyo, Tokyo 113-0032, Japan

*To whom correspondence should be addressed.


   Abstract

Motivation: The biological function of proteins is associated with a variety of motions, ranging from global domain motion to local motion of side chain. We propose a method, dihedral transition analysis (DTA), to identify significant dihedral angle changes between two distinct protein conformations and for characterization of the effect of these transitions on both local and global conformation.

Results: Applying DTA to a comprehensive and non-redundant dataset of 459 high-resolution pairs of protein structures, we found that a dihedral transition occurs in 82% of proteins. Multiple dihedral transitions are shown to occur cooperatively along the sequence, which allows us to separate a polypeptide chain into fragments with and without transitions, namely transition fragments (TFs) and stable fragments (SFs), respectively. By characterizing the magnitude of TF conformational change and the effect of the transition on the neighboring fragments, flap and hinge motions are identified as typical motions. DTA is also useful to detect protein motions, subtle in RMSD but significant in terms of dihedral angle changes, such as the peptide-plane flip, the side-chain flip and path-preserving motions. We conclude that DTA is a useful tool to extract potential functional motions, some of which might have been missed using conventional methods for protein motion analysis.

Availability: http://dynamics.iam.u-tokyo.ac.jp/DTA/

Contact: kitao{at}iam.u-tokyo.ac.jp

Supplementary information: Supplementary data are available at Bioinformatics online.

Associate Editor: Anna Tramontano


Received on November 4, 2008; revised on December 25, 2008; accepted on January 10, 2009

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