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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Hawon Lee

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Open access Sep 2026

DEG2MOL: Conditional Latent Flow Matching for Transcriptome-Guided de novo Drug Design

DEG2MOL is proposed, a biologically grounded conditioning framework that encodes differentially expressed gene profiles through a Gene Ontology (GO)-informed encoder and maps this representation into the latent space of a frozen, pre-trained scaffold-aware VAE via conditional latent flow matching.

Songhyeon Kim, Wootaek Lim, Hawon Lee et al. · 0 citations

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