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MD-TASK: a software suite for analyzing molecular dynamics trajectories
- Source :
- Bioinformatics
- Publication Year :
- 2016
-
Abstract
- Summary Molecular dynamics (MD) determines the physical motions of atoms of a biological macromolecule in a cell-like environment and is an important method in structural bioinformatics. Traditionally, measurements such as root mean square deviation, root mean square fluctuation, radius of gyration, and various energy measures have been used to analyze MD simulations. Here, we present MD-TASK, a novel software suite that employs graph theory techniques, perturbation response scanning, and dynamic cross-correlation to provide unique ways for analyzing MD trajectories. Availability and implementation MD-TASK has been open-sourced and is available for download from https://github.com/RUBi-ZA/MD-TASK, implemented in Python and supported on Linux/Unix.
- Subjects :
- 0301 basic medicine
Statistics and Probability
Computer science
Perturbation (astronomy)
Molecular Dynamics Simulation
Biochemistry
03 medical and health sciences
Structural bioinformatics
Molecular dynamics
0302 clinical medicine
Statistical physics
Molecular Biology
Simulation
Software suite
Molecular Structure
Biological macromolecule
Computational Biology
Graph theory
Applications Notes
Structural Bioinformatics
Computer Science Applications
Computational Mathematics
030104 developmental biology
Computational Theory and Mathematics
030217 neurology & neurosurgery
Software
Subjects
Details
- ISSN :
- 13674811
- Volume :
- 33
- Issue :
- 17
- Database :
- OpenAIRE
- Journal :
- Bioinformatics (Oxford, England)
- Accession number :
- edsair.doi.dedup.....d09810974c623b9247069e95a4f35de2