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Updated: Sep 16, 2025

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KinoViz: A User-Friendly Web Application for High-Throughput Kinome Profiling Analysis and Visualization in Cancer

Ehsan Saghapour1, Joshua C Anderson1, Jake Y Chen1

  • 1The University of Alabama at Birmingham.

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|July 9, 2025
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KinoViz simplifies the analysis of complex kinome profiling data. This web application provides interactive tools for researchers to visualize and interpret kinase activity, accelerating drug discovery.

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Ex Vivo ProflingGlioblastomaKinomicsPatient-derived xenografts

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Area of Science:

  • Biochemistry
  • Bioinformatics
  • Computational Biology

Background:

  • Kinases are crucial signaling proteins regulating cellular processes, making them key targets in cancer.
  • Measuring kinase activity and inhibitor efficacy is vital for cancer research and drug development.
  • Existing high-throughput kinome profiling generates complex data requiring specialized bioinformatics expertise.

Purpose of the Study:

  • To develop an accessible web-based application, KinoViz, for the analysis and visualization of kinome array data.
  • To bridge the gap between complex kinomic datasets and researchers lacking advanced computational skills.
  • To enable rapid interpretation of kinase activity and comparative analyses.

Main Methods:

  • Development of KinoViz, a user-friendly, web-based application.
  • Implementation of interactive modules for data upload and analysis of peptide phosphorylation datasets.
  • Integration of visualization tools including kinetic curves, heatmaps, network diagrams, and dimensionality reduction plots (PCA, UMAP).

Main Results:

  • KinoViz enables users to upload raw data and perform in-depth analyses without coding.
  • The application facilitates visualization of kinetic phosphorylation, identification of significant changes, and exploration of peptide profiles.
  • Researchers can rapidly generate interactive visualizations and comparative analyses of kinomic data.

Conclusions:

  • KinoViz significantly enhances the accessibility and interpretability of complex kinome array data.
  • The tool empowers researchers to conduct sophisticated analyses, aiding in understanding kinase signaling pathways.
  • Future expansion aims to support advanced applications, including translational drug discovery.