Lirong Wu

15

Papers

108

Total Citations

Papers (15)

MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding

FoldToken: Learning Protein Language via Vector Quantization and Beyond

PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction

CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph

MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction

DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing

Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization

dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen

Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning

Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer

3515 Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction

GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation

PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching

Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective

Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge