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.

Documentation

Links