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.
PMID: 25726469