Ke-Jun Deng

According to our database, Ke-Jun Deng authored at least 5 papers between 2022 and 2025.

Collaborative distances:

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

2025

EDS-Kcr: deep supervision based on large language model for identifying protein lysine crotonylation sites across multiple species.

Hong-Qi Zhang, Xin-Ran Lin, Yan-Ting Wang, Wen-Fang Pei, Guang-Ji Ma, Ze-Xu Zhou, Ke-Jun Deng, Dan Yan, Tianyuan Liu

Briefings Bioinform., May, 2025

PCBert-Kla: an efficient prediction method for lysine lactylation sites based on ProtBert and fusion of physicochemical features.

Hong-Qi Zhang, Yi-Xuan Qi, Huma Fida, Hao-Jiang Zhang, Muhammad Arif, Pei-Yu Zhao, Tanvir Alam, Ye-Chen Qi, Xiao-Long Yu, Ke-Jun Deng

Briefings Bioinform., 2025

2024

Predicting coronary heart disease in Chinese diabetics using machine learning.

Cai-Yi Ma, Yamei Luo, Tian-Yu Zhang, Yu-Duo Hao, Xue-Qin Xie, Xiao-Wei Liu, Xiaolei Ren, Xiaolin He, Yu-Mei Han, Ke-Jun Deng, Dan Yan, Hui Yang, Hua Tang, Hao Lin

Comput. Biol. Medicine, February, 2024

2023

iPADD: A Computational Tool for Predicting Potential Antidiabetic Drugs Using Machine Learning Algorithms.

Xiao-Wei Liu, Tian-Yu Shi, Dong Gao, Cai-Yi Ma, Hao Lin, Dan Yan, Ke-Jun Deng

J. Chem. Inf. Model., August, 2023

2022

iRice-MS: An integrated XGBoost model for detecting multitype post-translational modification sites in rice.

Hao Lv, Yang Zhang, Jia-Shu Wang, Shi-Shi Yuan, Zi-Jie Sun, Fu-Ying Dao, Zheng-Xing Guan, Hao Lin, Ke-Jun Deng

Briefings Bioinform., 2022