3 papers
q-bio.BM2026
MuCO: Generative Peptide Cyclization Empowered by Multi-stage Conformation Optimization
Yitian Wang, Fanmeng Wang, Angxiao Yue +3
Modeling peptide cyclization is critical for the virtual screening of candidate peptides with desirable physical and pharmaceutical properties. This task is challenging because a c…
cs.LG2025
OAT-FM: Optimal Acceleration Transport for Improved Flow Matching
Angxiao Yue, Anqi Dong, Hongteng Xu
As a powerful technique in generative modeling, Flow Matching (FM) aims to learn velocity fields from noise to data, which is often explained and implemented as solving Optimal Tra…
cs.LG2025
ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation
Angxiao Yue, Zichong Wang, Hongteng Xu
Protein backbone generation plays a central role in de novo protein design and is significant for many biological and medical applications. Although diffusion and flow-based genera…