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Predicting transcriptional responses to novel chemical perturbations using deep generative model for drug discovery

Medicine and Health

Predicting transcriptional responses to novel chemical perturbations using deep generative model for drug discovery

X. Qi, L. Zhao, et al.

Discover PRnet, an innovative deep generative model that revolutionizes drug discovery by predicting transcriptional responses to chemical perturbations at bulk and single-cell levels. This groundbreaking research conducted by Xiaoning Qi and colleagues demonstrates superior performance in drug candidate identification against cancer and other diseases, paving the way for gene-based therapeutics.

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