TiPs
TiPs catalogs potential drug-target interactions across 150 pathogen species by leveraging structural information from drug-target crystallographic complexes to predict novel interactions between known drugs and uncharacterized pathogen proteins.
Key Features:
- Extensive Database: TiPS contains data on 5153 putative drug-target pairs across 150 pathogen species.
- Structural Insights: Provides detailed structural information about the mode of binding of drugs to targets derived from drug-target crystallographic complexes.
- Homology-Based Predictions: Exploits homology relationships between known drug targets and pathogen proteins to predict potential interactions.
Scientific Applications:
- Drug Repurposing: Identify candidate repurposing opportunities by mapping known drugs onto novel pathogen protein targets.
- Target Discovery: Support discovery of new drug targets among pathogen proteins to address drug resistance.
- Structural Biology Research: Enable study of molecular mechanisms of drug-target binding using crystallographic-derived structural details.
Methodology:
Predictions are based on structural information from drug-target crystallographic complexes combined with homology relationships between known drug targets and pathogen proteins to infer potential drug–protein interactions.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 1/22/2015
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Structure database search
Outputs
Publications
Lepore R, Tramontano A, Via A. TiPs: a database of therapeutic targets in pathogens and associated tools. Bioinformatics. 2013;29(14):1821-1822. doi:10.1093/bioinformatics/btt289. PMID:23698860. PMCID:PMC3702258.