GalaxySagittarius
GalaxySagittarius predicts protein targets for druglike compounds by integrating structure- and similarity-based approaches to identify potential protein–ligand interactions.
Key Features:
- Hybrid Approach: Combines ligand similarity-based screening with receptor structure-based docking to identify candidate protein targets.
- Efficient Screening: Performs a preliminary screening using structural similarity and known interactions to narrow candidate proteins and reduce downstream docking calculations.
- Molecular Docking: Conducts protein–ligand docking on selected candidates to predict binding modes and relative affinities.
- Comprehensive Database Enrichment: Predicts binding ligands and sites to enrich the database with novel protein targets and interaction annotations.
Scientific Applications:
- Drug discovery: Facilitates identification of novel protein targets for druglike compounds to support lead identification and target hypothesis generation.
- Drug repurposing: Enables discovery of alternative targets for existing compounds to support repurposing and exploration of new therapeutic uses.
Methodology:
An initial structure- and similarity-based screening is followed by molecular docking on a curated subset of proteins.
Topics
Details
- Tool Type:
- web application
- Added:
- 1/18/2021
- Last Updated:
- 1/22/2021
Operations
Publications
Yang J, Kwon S, Bae S, Park KM, Yoon C, Lee J, Seok C. GalaxySagittarius: Structure- and Similarity-Based Prediction of Protein Targets for Druglike Compounds. Journal of Chemical Information and Modeling. 2020;60(6):3246-3254. doi:10.1021/acs.jcim.0c00104. PMID:32401021.
PMID: 32401021