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Next-Generation Phenotypic Screening
Author(s) -
Scott Warchal,
Asier UncitiBroceta,
Neil O. Carragher
Publication year - 2016
Publication title -
future medicinal chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.708
H-Index - 69
eISSN - 1756-8927
pISSN - 1756-8919
DOI - 10.4155/fmc-2016-0025
Subject(s) - phenotypic screening , drug discovery , profiling (computer programming) , phenotype , informatics , computational biology , high content screening , drug , drug development , data science , computer science , biology , bioinformatics , genetics , pharmacology , political science , gene , law , operating system , cell
Phenotypic drug discovery (PDD) strategies are defined by screening and selection of hit or lead compounds based on quantifiable phenotypic endpoints without prior knowledge of the drug target. We outline the challenges associated with traditional phenotypic screening strategies and propose solutions and new opportunities to be gained by adopting modern PDD technologies. We highlight both historical and recent examples of approved drugs and new drug candidates discovered by modern phenotypic screening. Finally, we offer a prospective view of a new era of PDD underpinned by a wealth of technology advances in the areas of in vitro model development, high-content imaging and image informatics, mechanism-of-action profiling and target deconvolution.

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