MEPSAnd
MEPSAnd computes minimum energy paths across n-dimensional energy surfaces to analyze molecular transitions and energy barriers in complex molecular systems.
Key Features:
- N-Dimensional Minimum Energy Path Calculation: Computes minimum energy paths across energy surfaces of arbitrary dimensionality.
- Lowest Energy Barrier Identification: Determines transition pathways that traverse the lowest energy barriers on multidimensional energy landscapes.
- Alternative Path Generation: Produces additional candidate pathways to explore multiple possible molecular transition routes.
- Energy Surface Visualization: Generates plots for visualization of energy surfaces and calculated paths in multidimensional space.
- Python Scripting Integration: Supports direct Python scripting for customized computational analyses and workflow integration.
Scientific Applications:
- Molecular Transition Pathway Analysis: Investigates molecular conformational transitions and reaction pathways across multidimensional energy surfaces.
- Chemical Kinetics Studies: Analyzes energy barriers and transition pathways involved in chemical reactions.
- Molecular Dynamics and Structural Biology: Explores energy landscapes associated with molecular conformational changes and protein folding.
Methodology:
MEPSAnd analyzes n-dimensional energy surfaces by computing minimum energy paths through the lowest energy barriers and generating alternative transition pathways for multidimensional energy landscape analysis.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- desktop application
- Programming Languages:
- Python
- Added:
- 11/14/2019
- Last Updated:
- 12/23/2020
Operations
Publications
Marcos-Alcalde I, López-Viñas E, Gómez-Puertas P. MEPSAnd: minimum energy path surface analysis over<i>n</i>-dimensional surfaces. Bioinformatics. 2019;36(3):956-958. doi:10.1093/bioinformatics/btz649. PMID:31418769.
PMID: 31418769
Funding: - ERDF: RTC-2017-6494-1, RTI2018-094434-B-I00