Beihong Ji

According to our database, Beihong Ji authored at least 6 papers between 2019 and 2023.

Collaborative distances:

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

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

2020

How Well Does the Extended Linear Interaction Energy Method Perform in Accurate Binding Free Energy Calculations?

Dongxiao Hao, Xibing He, Beihong Ji, Shengli Zhang, Junmei Wang

J. Chem. Inf. Model., 2020

2019

Calculate protein-ligand binding affinities with the extended linear interaction energy method: application on the Cathepsin S set in the D3R Grand Challenge 3.

Xibing He, Viet Hoang Man, Beihong Ji, Xiang-Qun Xie, Junmei Wang

J. Comput. Aided Mol. Des., 2019