iTReX

iTReX analyzes dose-response profiling data for mono-therapy and combination therapy to quantify drug sensitivity and support biomarker discovery and therapy optimization in precision oncology.


Key Features:

  • Advanced Dose-Response Modeling: Employs an extended drug sensitivity score (DSS) based on a five-parameter dose-response curve model to quantify single-agent and combination therapy efficacies.
  • Combination Therapy Profiling: Implements a differential DSS for combination profiling to assess synergistic or antagonistic effects between drugs.
  • Drug Target Interaction Network Visualization: Visualizes drug target interaction networks and matches top therapy hits with sample omics features to identify druggable targets and candidate biomarkers.
  • Versatile Quantitative Readout Analysis: Analyzes quantitative readouts including luminescence and fluorescence microscopy data and supports multiple treatment strategies such as drug treatments and radiation from high-throughput screening datasets.
  • Biomarker Identification: Integrates drug target interaction networks with sample-specific omics features to facilitate identification of potential biomarkers for personalized medicine.

Scientific Applications:

  • Precision oncology: Correlating tumor genomic features with treatment response profiles to inform therapeutic hypotheses.
  • Drug combination screening validation: Validating cost-effective drug combination screening approaches.
  • Predictor development: Supporting the development of novel predictors of treatment response.
  • Therapy optimization and biomarker discovery: Optimizing therapeutic strategies and identifying candidate biomarkers for personalized treatment decisions.

Methodology:

Five-parameter dose-response curve fitting, computation of an extended DSS and a differential DSS for combinations, visualization of drug-target interaction networks, matching top therapy hits with sample-specific omics features, and analysis of quantitative readouts from luminescence and fluorescence microscopy within high-throughput screening dose-response datasets.

Topics

Details

License:
Not licensed
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
R
Added:
5/24/2022
Last Updated:
5/24/2022

Operations

Publications

ElHarouni D, Berker Y, Peterziel H, Gopisetty A, Turunen L, Kreth S, Stainczyk SA, Oehme I, Pietiäinen V, Jäger N, Witt O, Schlesner M, Oppermann S. iTReX: Interactive exploration of mono- and combination therapy dose response profiling data. Pharmacological Research. 2022;175:105996. doi:10.1016/j.phrs.2021.105996. PMID:34848323.