4 citations · 8 across the 12 of their papers we have counts for
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cs.CE2024★ 1 cited
D-Flow: Multi-modality Flow Matching for D-peptide Design
Fang Wu, Shuting Jin, Xiangru Tang +3
Among these, D-peptides are resistant to proteolysis, exhibit greater in vivo stability, and are easier to synthesize. Despite advances in deep learning for peptide discovery, the…
q-bio.BM2024★ 4 cited
A Survey of Generative AI for de novo Drug Design: New Frontiers in Molecule and Protein Generation
Xiangru Tang, Howard Dai, Elizabeth Knight +4
Artificial intelligence (AI)-driven methods can vastly improve the historically costly drug design process, with various generative models already in widespread use. Generative mod…