omegagene
omegagene implements generalized ensemble molecular dynamics and coarse-grained modeling to enhance conformational sampling and enable free-energy landscape analysis of biomolecular systems.
Key Features:
- Generalized Ensemble Methods: Implements virtual-system coupled multicanonical MD (V-McMD), virtual-system coupled adaptive umbrella sampling (V-AUS), and virtual-system coupled canonical MD (VcMD) to enhance conformational exploration.
- Free-Energy Landscape Analysis: Performs free-energy landscape analysis using all-atom molecular dynamics simulations to provide thermodynamic insights into molecular system stability.
- Coarse-Grained Simulations: Provides a hydrophobicity scale method and a one-bead-per-residue coarse-grained representation (e.g., for poly-glutamine oligomer simulations) to accelerate simulations while retaining key physicochemical properties.
Scientific Applications:
- Protein Folding Studies: Simulates folding pathways and conformational ensembles to analyze mechanisms of protein structure formation.
- Drug Design and Discovery: Explores conformational flexibility and binding-site landscapes of biomolecules for target characterization.
- Material Science: Simulates polymers and nanomaterials at atomistic and coarse-grained levels to analyze material properties.
Methodology:
Uses generalized ensemble methods (V-McMD, V-AUS, VcMD) for enhanced sampling to overcome conventional MD limitations; conducts free-energy landscape analysis from all-atom simulations; employs a hydrophobicity scale coarse-graining and one-bead-per-residue representations while supporting both all-atom and coarse-grained models.
Topics
Details
- License:
- Apache-2.0
- Tool Type:
- command-line tool
- Programming Languages:
- C++, Python
- Added:
- 1/18/2021
- Last Updated:
- 3/13/2021
Operations
Publications
Kasahara K, Terazawa H, Itaya H, Goto S, Nakamura H, Takahashi T, Higo J. myPresto/omegagene 2020: a molecular dynamics simulation engine for virtual-system coupled sampling. Biophysics and Physicobiology. 2020;17(0):140-146. doi:10.2142/biophysico.bsj-2020013. PMID:33240741. PMCID:PMC7671739.