A key challenge in designing phenotypic screens is the selection of optimal imaging biomarkers. Here, Kang et al. present a method for systematically identifying the ORACL — optimal reporter cell line for annotating compound libraries — the phenotypic profile of which most accurately classifies compounds into multiple, diverse drug classes. The authors use the ORACL to carry out a single-pass phenotypic screen of several small-molecule compound libraries and validate drug class predictions in secondary assays.
References
Kang J. et al. Improving drug discovery with high-content phenotypic screens by systematic selection of reporter cell lines. Nat. Biotech. 34, 70–77 (2016)
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Crunkhorn, S. Optimizing phenotypic screens. Nat Rev Drug Discov 15, 86 (2016). https://doi.org/10.1038/nrd.2016.5
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DOI: https://doi.org/10.1038/nrd.2016.5