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Systematic identification of pharmacological targets from small-molecule phenotypic screens.
Cell Chem. Bio. 23, 1302-1313 (2016)
Phenotypic drug discovery offers some advantages over target-based methods, mainly because it allows drug leads to be tested in systems that more closely model distinct disease states. However, a potential disadvantage is the difficulty of linking the observed phenotype to a specific cellular target. To address this problem, we developed DePick, a computational target de-convolution tool to determine targets specifically linked to small-molecule phenotypic screens. We applied DePick to eight publicly available screens and predicted 59 drug target-phenotype associations. In addition to literature-based evidence for our predictions, we provide experimental support for seven predicted associations. Interestingly, our analysis led to the discovery of a previously unrecognized connection between the Wnt signaling pathway and an aromatase, CYP19A1. These results demonstrate that the DePick approach can not only accelerate target de-convolution but also aid in discovery of new functionally relevant biological relationships.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Drug Target-phenotype Relations ; High-throughput Chemical Screens ; Target De-convolution ; Target Prediction; Anion Transporting Polypeptide; Amyloid Precursor Protein; Bioactive Small Molecules; Wnt/beta-catenin; Beta-catenin; Web Server; Drug Discovery; E-cadherin; Sr-bi; Cholesterol
ISSN (print) / ISBN 2451-9456
Zeitschrift Cell Chemical Biology
Quellenangaben Band: 23, Heft: 10, Seiten: 1302-1313
Verlag Cell Press
Verlagsort Cambridge, Massachusetts