Predicting protein targets for drug-like compounds using transcriptomics
Nicolas A Pabon, Yan Xia, Samuel K. Estabrooks, Zhaofeng Ye, Amanda Katherina Herbrand, Evelyn Süß, Ricardo M. Biondi, Victoria A. Assimon, Jason E. Gestwicki, Jeffrey L. Brodsky, Carlos Jaime Camacho, Ziv Bar‐Joseph
The paper develops a pipeline to predict protein targets for drug-like compounds using transcriptomics and machine learning, achieving 26% top-10 accuracy on FDA-approved drugs.
PLoS Computational Biology · Dec 7, 2018Peer-reviewedGenomics