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Identifying kinase dependency in cancer cells by integrating high-throughput drug screening and kinase inhibition data
Author(s) -
Karen A. Ryall,
Jimin Shin,
Minjae Yoo,
Trista K. Hinz,
Jihye Kim,
Jaewoo Kang,
Lynn E. Heasley,
Aik Choon Tan
Publication year - 2015
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btv427
Subject(s) - kinase , computer science , computational biology , cancer research , biology , microbiology and biotechnology
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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