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.