Jingchen Zhai

According to our database, Jingchen Zhai authored at least 6 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

Advancing promiscuous aggregating inhibitor analysis with intelligent machine learning classification.

Luxuan Wang, Beihong Ji, Jingchen Zhai, Junmei Wang

Briefings Bioinform., 2025

2023

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., February, 2023

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

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

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