Inference of drug off-target effects on cellular signaling using Interactome-Based Deep Learning
Nikolaos Meimetis,
Douglas A. Lauffenburger,
Avlant Nilsson
Abstract:Many diseases emerge from dysregulated cellular signaling, and drugs are often designed to target specific nodes in cellular networks e.g. signaling proteins, or transcription factors. However, off-target effects are common and may ultimately result in failed clinical trials. Computational modeling of the cell’s transcriptional response to drugs could improve our understanding of their mechanisms of action. Here we develop such an approach based on ensembles of artificial neural networks, that simultaneously i… Show more
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