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

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.

Documentation