122 citations · 549 across the 65 of their papers we have counts for
5 papers · 1 filter
dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen
Cheng Tan, Yijie Zhang, Zhangyang Gao +6
The development of therapeutic antibodies heavily relies on accurate predictions of how antigens will interact with antibodies. Existing computational methods in antibody design of…
Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization
Lirong Wu, Haitao Lin, Yufei Huang +5
Antibodies are Y-shaped proteins that protect the host by binding to specific antigens, and their binding is mainly determined by the Complementary Determining Regions (CDRs) in th…
DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraints
Zhangyang Gao, Cheng Tan, Stan Z. Li
Have you ever been troubled by the complexity and computational cost of SE(3) protein structure modeling and been amazed by the simplicity and power of language modeling? Recent wo…
Protein Language Models and Structure Prediction: Connection and Progression
Bozhen Hu, Jun Xia, Jiangbin Zheng +4
The prediction of protein structures from sequences is an important task for function prediction, drug design, and related biological processes understanding. Recent advances have…
AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB
Zhangyang Gao, Cheng Tan, Stan Z. Li
While DeepMind has tentatively solved protein folding, its inverse problem -- protein design which predicts protein sequences from their 3D structures -- still faces significant ch…