HIGHLIGHTS
- who: Nikita Moshkov from the (UNIVERSITY) have published the research: Predicting compound activity from phenotypic profiles and chemical structures, in the Journal: (JOURNAL) of 24/05/2022
- what: The authors evaluate the relative strength of three high-throughput data sources-chemical structures, imaging (Cell Painting), and gene-expression profiles (L1000)-to predict compound bioactivity using a historical collection of 16,170 compounds tested in 270 assays for a total of 585,439 readouts. The study shows that unbiased phenotypic profiling can be leveraged to enhance compound bioactivity prediction to accelerate the early stages of the . . .
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