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Open access Sep 2026

AET5: A transcriptome-guided molecular generation framework with contrastive self-supervised learning

Gene expression profiles capture system-level drug responses and offer a promising basis for de novo molecular generation. However, their application is limited by data sparsity and experimental noise, which hinder the reliable mapping between disease-associated transcriptomic perturbations and chemically valid therape...

Zhi-Kang Yuan, Xin Zhang, Gao-Ming Lin et al. · 0 citations

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