13 citations · 17 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
Structure-aware Protein Self-supervised Learning
Can Chen, Jingbo Zhou, Fan Wang +2
Protein representation learning methods have shown great potential to yield useful representation for many downstream tasks, especially on protein classification. Moreover, a few r…
q-bio.QM2021★ 2 cited
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity
Shuangli Li, Jingbo Zhou, Tong Xu +6
Drug discovery often relies on the successful prediction of protein-ligand binding affinity. Recent advances have shown great promise in applying graph neural networks (GNNs) for b…
q-bio.QM2020★ 13 cited
Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction
Jingbo Zhou, Shuangli Li, Liang Huang +5
Accurately predicting the binding affinity between drugs and proteins is an essential step for computational drug discovery. Since graph neural networks (GNNs) have demonstrated re…