Machine learning on ligand-residue interaction profiles to significantly improve binding affinity prediction. - Beihong Ji; Xibing He; Jingchen Zhai; Yuzhao Zhang; Viet Hoang Man; Junmei Wang (Briefings Bioinform., 2021)

In silico binding profile characterization of SARS-CoV-2 spike protein and its mutants bound to human ACE2 receptor. - Yuzhao Zhang; Xibing He; Jingchen Zhai; Beihong Ji; Viet Hoang Man; Junmei Wang (Briefings Bioinform., 2021)

Incorporating structural similarity into a scoring function to enhance the prediction of binding affinities. - Beihong Ji; Xibing He; Yuzhao Zhang; Jingchen Zhai; Viet Hoang Man; Shuhan Liu; Junmei Wang (J. Cheminformatics, 2021)

Phosphorylation at Ser289 Enhances the Oligomerization of Tau Repeat R2. - Viet Hoang Man; Xibing He; Fengyang Han; Lianjin Cai; Luxuan Wang; Taoyu Niu; Jingchen Zhai; Beihong Ji; Jie Gao; Junmei Wang (J. Chem. Inf. Model., 2023)

Advancing promiscuous aggregating inhibitor analysis with intelligent machine learning classification. - Luxuan Wang; Beihong Ji; Jingchen Zhai; Junmei Wang (Briefings Bioinform., 2025)

NNKcat: deep neural network to predict catalytic constants (Kcat) by integrating protein sequence and substrate structure with enhanced data imbalance handling. - Jingchen Zhai; Xiguang Qi; Lianjin Cai; Yue Liu; Haocheng Tang; Lei Xie; Junmei Wang (Briefings Bioinform., 2025)