MetalionRNA
MetalIonRNA predicts metal-binding sites in RNA structures to identify locations of metal ion interactions that influence RNA structure and function.
Key Features:
- Prediction Capability: Identifies potential binding sites for metal ions on RNA molecules based on structural and interaction patterns.
- Knowledge-based Scoring: Applies a knowledge-based scoring function derived from known RNA–metal ion complexes to evaluate candidate sites.
- Computational Alternative: Provides in silico predictions intended to complement and prioritize experimental probing of RNA–metal ion interactions.
Scientific Applications:
- Riboswitch Research: Predicts metal ion binding sites in riboswitches and other mRNA regions that can modulate RNA structure and bacterial gene regulation.
- Drug Design and Molecular Engineering: Informs design of therapeutics targeting RNA structures and the engineering of molecules that interact with metal-coordinated RNA sites.
Methodology:
Uses a knowledge-based scoring function grounded in known RNA–metal ion complexes to score and predict RNA metal-binding sites.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Philips A, Łach G, Bujnicki JM. Computational Methods for Prediction of RNA Interactions with Metal Ions and Small Organic Ligands. Methods in Enzymology. 2015. doi:10.1016/bs.mie.2014.10.057. PMID:25726469.
PMID: 25726469