RING-PyMOL
RING-PyMOL analyzes structural ensembles and molecular dynamics (MD) simulations within PyMOL by constructing and visualizing residue interaction networks. It integrates RING functionalities to map non-covalent interactions and characterize conformational variability in proteins and nucleic acids.
Key Features:
- Residue Interaction Network Mapping: Generates residue interaction networks to identify non-covalent contacts in protein and nucleic acid structures.
- Structural Clustering: Applies clustering methods to group conformational states from structural ensembles and MD trajectories.
- High-Throughput Trajectory Processing: Processes hundreds of structural models and large MD trajectories with optimized performance.
- mmCIF and Typed Interaction Support: Supports mmCIF format and detects typed interactions across proteins and nucleic acids.
- Interactive Analytical Outputs: Produces plots and data files for downstream structural and network analysis.
Scientific Applications:
- Allostery and Conformational Dynamics Analysis: Enables investigation of interaction networks, active site dynamics, and structural heterogeneity in biomolecular systems.
Methodology:
RING-PyMOL parses structural coordinates from ensembles or MD trajectories, computes residue interaction networks based on non-covalent contacts, performs structural clustering to identify recurrent conformations, and visualizes interaction patterns within the PyMOL environment.
Topics
Details
- License:
- CC-BY-NC-SA-4.0
- Cost:
- Free of charge
- Tool Type:
- plugin
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python, PyMOL
- Added:
- 9/22/2023
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Molecular dynamics
Inputs
Outputs
Publications
Del Conte A, Monzon AM, Clementel D, Camagni GF, Minervini G, Tosatto SCE, Piovesan D. RING-PyMOL: residue interaction networks of structural ensembles and molecular dynamics. Bioinformatics. 2023;39(5). doi:10.1093/bioinformatics/btad260. PMID:37079739. PMCID:PMC10159649.
PMID: 37079739
PMCID: PMC10159649
Funding: - European Union’s Horizon 2020 research and innovation program: 778247, 823886