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Consistency of in vitro drug sensitivities within pharmacological classes
Author(s) -
C. Suk-Yee Hon,
Sisira Kadambat Nair,
Петр Смирнов,
Hossein Sharifi-Noghabi,
Nikta Feizi,
Shaun Shepherd,
Benjamin HaibeKains
Publication year - 2021
Publication title -
journal of undergraduate life sciences
Language(s) - English
Resource type - Journals
eISSN - 1911-8902
pISSN - 1911-8899
DOI - 10.33137/juls.v15i1.37046
Subject(s) - pharmacogenomics , drug , computational biology , consistency (knowledge bases) , set (abstract data type) , cancer cell lines , biology , medicine , pharmacology , cancer , computer science , cancer cell , genetics , artificial intelligence , programming language
Multiple comparative analyses between the common drugs and cell lines of the Genomics of Drug Sensitivity in Cancer (GDSC) and the Cancer Therapeutics Response Portal (CTRP) have previously shown low consistency between the in vitro phenotypic measures of a drug in one study with the other. While several potential sources of inconsistency have been tested, the similar targets of tested compounds has yet to be tested as a contributing factor of discrepancy. This analysis includes two methods of reclassifying drugs into classes based on their targets to identify the truer set of consistent cell lines, showing an increased correlation between the two pharmacogenomic studies.

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