Lianjin Cai

According to our database, Lianjin Cai authored at least 4 papers between 2023 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

2024

Emerging Opportunities of Using Large Language Models for Translation Between Drug Molecules and Indications.

David Oniani, Jordan Hilsman, Chengxi Zang, Junmei Wang, Lianjin Cai, Jan Zawala, Yanshan Wang

CoRR, 2024

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

Development and test of highly accurate endpoint free energy methods. 1: Evaluation of ABCG2 charge model on solvation free energy prediction and optimization of atom radii suitable for more accurate solvation free energy prediction by the PBSA method.

Yuchen Sun, Xibing He, Tingjun Hou, Lianjin Cai, Viet Hoang Man, Junmei Wang

J. Comput. Chem., 2023