Abstract

<h2>Abstract</h2> Kinases are among the most established druggable proteins with currently over 50 approved kinase inhibitor drugs, most of them for cancer. However, these drugs only target a small subset of the human kinome and many kinases remain "dark" or "understudied" (Essegian et al. 2020 [1], Oprea et al. 2018 [2]). To improve the utility to evaluate the clinical relevance of kinases, including their potential as novel prospective cancer drug targets, we developed the Clinical Kinase Index (CKI). CKI is an interactive web application with harmonized datasets extracted from several resources that allows researchers and clinicians to prioritize and evaluate the clinical relevance of kinases as cancer drug targets across solid. It is an open-source platform-independent browser based Shiny application with a menu offering a number of options to query, explore, analyze, and visualize the data.

Highlights

  • Kinases are among the most established druggable proteins with currently over 50 approved kinase inhibitor drugs, most of them for cancer

  • An integrated curated resource of cancer omics profiling datasets from The Cancer Genome Atlas (TCGA), Drug with clinical metadata across the human kinome, along with drug target Central, The Drug Target Ontology (DTO) and other resources [3,4,5,6,7]. annotations and kinase classifications offers opportunities to better To deploy the database and enable interactive querying, exploration, understand the entire kinome in the context of clinical cancer biomark- analysis and visualization, we developed a Shiny app to automatize the ers and prospective novel drug targets

  • [19] S.C. Schurer, S.M. Muskal, Kinome-wide activity modeling from diverse public an update, Nucleic Acids Res. 42 (Database issue) (2014) D1083–D1090

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Summary

Original software publication

The Clinical Kinase Index (CKI): A user friendly application to prioritize kinases as prospective cancer drug targets.

Code metadata
The CKI web application landing page features an interactive
Full Text
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