2 papers
q-bio.BM2025
Generative design and validation of therapeutic peptides for glioblastoma based on a potential target ATP5A
Hao Qian, Pu You, Lin Zeng +5
Glioblastoma (GBM) remains the most aggressive tumor, urgently requiring novel therapeutic strategies. Here, we present a dry-to-wet framework combining generative modeling and exp…
q-bio.QM2025
THFlow: A Temporally Hierarchical Flow Matching Framework for 3D Peptide Design
Dengdeng Huang, Shikui Tu
Deep generative models provide a promising approach to de novo 3D peptide design. Most of them jointly model the distributions of peptide's position, orientation, and conformation,…