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Article

Identifying kinase dependency in cancer cells by integrating high-throughput drug screening and kinase inhibition data.

Bioinformatics (Oxford, England) - 1 Dec 2015

Ryall Karen A, Shin Jimin, Yoo Minjae, Hinz Trista K, Kim Jihye, Kang Jaewoo, Heasley Lynn E, Tan Aik Choon

Abstract excerpt

MOTIVATION: Targeted kinase inhibitors have dramatically improved cancer treatment, but kinase dependency for an individual patient or cancer cell can be challenging to predict. Kinase dependency does not always correspond with gene expression and mutation status. High-throughput drug screens are powerful tools for determining kinase dependency, but drug polypharmacology can make results difficult to interpret....

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Share to Receptor, Fibroblast Growth Factor, Type 1

Share to TOR Serine-Threonine Kinases

Source

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Identifiers

PMID: 26206305
DOI: 10.1093/bioinformatics/btv427
PMCID: PMC4675831

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MTOR

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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