Predicting transcriptional responses to novel chemical perturbations using deep generative model for drug discovery
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DOI: 10.1038/s41467-024-53457-1
Abstract: Understanding transcriptional responses to chemical perturbations is central to drug discovery, but exhaustive experimental screening of disease-compound combinations is unfeasible. To overcome this limitation, here we introduce PRnet, a perturbation-conditioned deep generative model that predicts… read more here.
Keywords: transcriptional responses; drug discovery; drug; chemical perturbations ... See more keywords