Systematic Identification of Pharmacological Targets from Small-Molecule Phenotypic Screens.

Abstract:

: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.

journal_name

Cell Chem Biol

journal_title

Cell chemical biology

authors

Liu X,Baarsma HA,Thiam CH,Montrone C,Brauner B,Fobo G,Heier JS,Duscha S,Königshoff M,Angeli V,Ruepp A,Campillos M

doi

10.1016/j.chembiol.2016.08.011

subject

Has Abstract

pub_date

2016-10-20 00:00:00

pages

1302-1313

issue

10

eissn

2451-9456

issn

2451-9448

pii

S2451-9456(16)30294-X

journal_volume

23

pub_type

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