RING
Key Features:
- PDB and mmCIF-Based RIN Construction: Generates physico-chemically validated residue interaction networks from PDB and mmCIF structures, including nucleic acids defined in the PDB chemical component dictionary.
- Structural Parameter Integration: Incorporates secondary structure, solvent accessibility, experimental uncertainty, residue conservation, mutual information, and energy scoring functions into network annotation.
- Probabilistic Graph Modeling: Represents conformational ensembles from NMR or molecular dynamics simulations as weighted edges to analyze structural variability.
- Cytoscape Compatibility: Supports export to Cytoscape for computation of topological network parameters and advanced graph analysis.
- Contact Evolution Analysis: Visualizes interaction changes across models or time using heatmaps.
Scientific Applications:
- Protein Structure and Interaction Analysis: Enables investigation of residue interaction patterns, structural stability, functional sites, and therapeutic target identification.
Methodology:
RING parses atomic coordinates from PDB or mmCIF files, detects physico-chemical contacts between residues, constructs graph representations of residue interaction networks, annotates nodes and edges with structural and evolutionary features, and supports topological and conformational variability analyses.
Topics
Details
- Tool Type:
- api, command-line tool, web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 3/3/2016
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Prediction and recognition
Inputs
Outputs
Publications
Martin AJM, Vidotto M, Boscariol F, Di Domenico T, Walsh I, Tosatto SCE. RING: networking interacting residues, evolutionary information and energetics in protein structures. Bioinformatics. 2011;27(14):2003-2005. doi:10.1093/bioinformatics/btr191. PMID:21493660.
Clementel D, Del Conte A, Monzon AM, Camagni GF, Minervini G, Piovesan D, Tosatto SCE. RING 3.0: fast generation of probabilistic residue interaction networks from structural ensembles. Nucleic Acids Research. 2022;50(W1):W651-W656. doi:10.1093/nar/gkac365. PMID:35554554. PMCID:PMC9252747.
Documentation
Downloads
- Downloads pagehttps://biocomputingup.it/downloads