SmilesGEN generates drug-like molecules from gene expression profiles by subtracting the molecule's latent code from the treated-cell code to reconstruct the untreated cell state.
Application of generative autoencoder in de novo molecular design.Molecular informatics, 37(1- 2):1700123,
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Phenotypic Profile-Informed Generation of Drug-Like Molecules via Dual-Channel Variational Autoencoders
SmilesGEN generates drug-like molecules from gene expression profiles by subtracting the molecule's latent code from the treated-cell code to reconstruct the untreated cell state.