L Rodgers Thomas
DDPT: a comprehensive toolbox for the analysis of protein motion
Rodgers Thomas, L; Burnell, David; Townsend, Phil D; Pohl, Ehmke; Cann, Martin J; Wilson, Mark R; McLeish, Tom CB
Authors
David Burnell
Phil D Townsend
Ehmke Pohl
Martin J Cann
Professor Mark Wilson mark.wilson@durham.ac.uk
Professor
Tom CB McLeish
Abstract
Background: Normal Mode Analysis is one of the most successful techniques for studying motions in proteins and macromolecules. It can provide information on the mechanism of protein functions, used to aid crystallography and NMR data reconstruction, and calculate protein free energies. Results: ΔΔPT is a toolbox allowing calculation of elastic network models and principle component analysis. It allows the analysis of pdb files or trajectories taken from; Gromacs, Amber, and DL_POLY. As well as calculation of the normal modes it also allows comparison of the modes with experimental protein motion, variation of modes with mutation or ligand binding, and calculation of molecular dynamic entropies. Conclusions: This toolbox makes the respective tools available to a wide community of potential NMA users, and allows them unrivalled ability to analyse normal modes using a variety of techniques and current software.
Citation
Rodgers Thomas, L., Burnell, D., Townsend, P. D., Pohl, E., Cann, M. J., Wilson, M. R., & McLeish, T. C. (2013). DDPT: a comprehensive toolbox for the analysis of protein motion. BMC Bioinformatics, 14(1), Article 183. https://doi.org/10.1186/1471-2105-14-183
Journal Article Type | Article |
---|---|
Publication Date | Jun 1, 2013 |
Deposit Date | Jun 21, 2013 |
Publicly Available Date | Aug 21, 2013 |
Journal | BMC Bioinformatics |
Electronic ISSN | 1471-2105 |
Publisher | BioMed Central |
Peer Reviewed | Peer Reviewed |
Volume | 14 |
Issue | 1 |
Article Number | 183 |
DOI | https://doi.org/10.1186/1471-2105-14-183 |
Public URL | https://durham-repository.worktribe.com/output/1481494 |
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Copyright Statement
© 2013 Rodgers et al.; licensee BioMed Central Ltd.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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