SBMOpenMM
SBMOpenMM enables construction and execution of structure-based model (SBM) molecular dynamics (MD) simulations with the OpenMM engine to investigate biomolecular folding, conformational dynamics, and thermodynamic properties.
Key Features:
- Python library: Implements SBM model construction and simulation control as a Python library.
- OpenMM integration: Generates SBM force fields compatible with the OpenMM simulation engine and executes MD simulations on OpenMM.
- Structure-based model construction: Builds structure-based models that simplify biomolecular systems to focus on relevant dynamics.
- Custom force fields: Creates custom SBM force fields from structural information and maps protein system data to OpenMM force objects.
- Energy landscape analysis: Enables exploration of complex potential energy surfaces with substantial energy barriers to assess convergence.
- Thermodynamics and entropy assessment: Facilitates determination of thermodynamic properties and conformational entropy relevant for evaluating simulation convergence.
- Protein and complex studies: Supports simulations of protein systems and protein complexes to study folding and interactions.
- Computational efficiency: Reduces computational cost relative to full atomistic MD by focusing on essential dynamics via model simplifications.
- Performance and customizability: Leverages OpenMM performance and customizability for efficient SBM simulations.
Scientific Applications:
- Protein folding and conformational dynamics: Investigate folding mechanisms and conformational transitions in proteins.
- Thermodynamic and entropy estimation: Estimate thermodynamic properties and conformational entropy to evaluate simulation convergence.
- Energy landscape and barrier exploration: Map and sample complex potential energy surfaces and barrier-crossing events.
- Protein–protein interactions and complexes: Study interactions and dynamics within protein complexes.
- Targeted biophysical process modeling: Model specific biophysical processes by simplifying irrelevant degrees of freedom.
Methodology:
SBMOpenMM constructs custom structure-based model force fields from protein structural information, maps them to OpenMM force objects, and executes molecular dynamics simulations using the OpenMM engine.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- library, plugin
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python, Other
- Added:
- 11/21/2021
- Last Updated:
- 11/21/2021
Operations
Publications
Floor M, Li K, Estévez-Gay M, Agulló L, Muñoz-Torres PM, Hwang JK, Osuna S, Villà-Freixa J. SBMOpenMM: A Builder of Structure-Based Models for OpenMM. Journal of Chemical Information and Modeling. 2021;61(7):3166-3171. doi:10.1021/acs.jcim.1c00122. PMID:34251801.
PMID: 34251801
Funding: - Ministerio de Econom??a y Competitividad: PGC2018-102192-B-I00
- Generalitat de Catalunya: 2017 SGR-1707, 2017 SGR-901
- H2020 European Research Council: ERC-2015-StG-679001
- Red Espa??ola de Supercomputaci??n: BCV-2020-3-0019
Documentation
Links
Related Tools
openmm
Relation: uses