6 citations · 13 across the 8 of their papers we have counts for
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q-bio.BM2025
EnzyControl: Adding Functional and Substrate-Specific Control for Enzyme Backbone Generation
Chao Song, Zhiyuan Liu, Han Huang +6
Designing enzyme backbones with substrate-specific functionality is a critical challenge in computational protein engineering. Current generative models excel in protein design but…
q-bio.BM2024
RiboDiffusion: Tertiary Structure-based RNA Inverse Folding with Generative Diffusion Models
Han Huang, Ziqian Lin, Dongchen He +2
RNA design shows growing applications in synthetic biology and therapeutics, driven by the crucial role of RNA in various biological processes. A fundamental challenge is to find f…
q-bio.BM2023★ 6 cited
Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation
Han Huang, Leilei Sun, Bowen Du +1
Designing new molecules is essential for drug discovery and material science. Recently, deep generative models that aim to model molecule distribution have made promising progress…