LigandRNA

LigandRNA predicts and scores three-dimensional poses of small-molecule ligands bound to RNA structures, focusing on riboswitches to identify potential binding sites and rank ligand–RNA interactions.


Key Features:

  • Scoring and ranking of 3D poses: Scores and ranks three-dimensional ligand poses docked to RNA structures.
  • Knowledge-based scoring function: Employs a knowledge-based scoring function to evaluate ligand–RNA interactions.
  • Binding site prediction: Predicts potential small-molecule binding sites on RNA structures.
  • Riboswitch focus: Targets riboswitches and mRNA regulatory regions that undergo structural changes upon ligand binding.
  • Ligand and metal ion interactions: Accounts for interactions with small-molecule ligands and metal ions.

Scientific Applications:

  • Drug design and molecular engineering: Ranks candidate ligands for modulating riboswitch activity in drug discovery and molecular engineering efforts.
  • Riboswitch functional studies: Facilitates structural and functional studies of riboswitches and other RNA-based regulatory elements.
  • Prioritization for experimental validation: Provides theoretical prioritization of binding sites and ligands to guide experimental validation.

Methodology:

Uses a knowledge-based scoring function to score and rank three-dimensional ligand poses and predict binding sites on RNA structures.

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