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ΔΔPT: a comprehensive toolbox for the analysis of protein motion
- Source :
- BMC Bioinformatics, BMC bioinformatics, 2013, Vol.14(1), pp.183 [Peer Reviewed Journal]
- Publication Year :
- 2012
-
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.
- Subjects :
- Computer science
Entropy
Protein Data Bank (RCSB PDB)
Computational biology
Molecular Dynamics Simulation
01 natural sciences
Biochemistry
03 medical and health sciences
Molecular dynamics
Motion
Structural Biology
0103 physical sciences
Elastic network models
Molecular Biology
030304 developmental biology
0303 health sciences
010304 chemical physics
Applied Mathematics
Proteins
Toolbox
Computer Science Applications
Protein free
DNA microarray
Biological system
Software
Macromolecule
Subjects
Details
- ISSN :
- 14712105
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- BMC bioinformatics
- Accession number :
- edsair.doi.dedup.....1c8d58735afe1b233da53d7b82c0dcdd