MD DaVis
MD DaVis visualizes and analyzes molecular dynamics (MD) simulation trajectories to enable interactive comparison and interpretation of protein dynamic behavior.
Key Features:
- Interactive Visualization: Generates dynamic, interactive plots for visual comparison of MD trajectories across proteins and experimental conditions.
- Comparative Analysis: Enables rapid assessment of differences and similarities in molecular dynamics across datasets, including comparisons of mutated and homologous proteins.
- Trajectory Import and Processing: Imports and processes MD trajectory files using Python data-handling and visualization libraries to prepare simulation data for analysis.
Scientific Applications:
- Conformational Change Analysis: Analyze protein conformational changes under different environmental conditions.
- Mutation Impact Assessment: Investigate effects of mutations on protein stability and function.
- Comparative Dynamics of Homologs and Complexes: Compare dynamic behavior of homologous proteins or protein complexes to elucidate functional differences.
- Structural Biology and Drug Design: Support structural biology studies and applications such as drug design and development by facilitating interpretation of molecular interactions and dynamics.
Methodology:
Processes and displays MD simulation trajectory files by using Python data-handling and visualization libraries and by importing trajectory files for direct analysis.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 8/28/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Maity D, Pal D. MD DaVis: interactive data visualization of protein molecular dynamics. Bioinformatics. 2022;38(12):3299-3301. doi:10.1093/bioinformatics/btac314. PMID:35532115.
PMID: 35532115
Funding: - Council of Scientific & Industrial Research: JRF 09/079(2650)/2015-EMR-I
Documentation
User manual
https://md-davis.readthedocs.ioLinks
Repository
https://pypi.org/project/md-davis/