Dejun Jiang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 14

Top Topics

Geometric Structure

Characteristic Features

Top Venues

J. Chem. Inf. Model.

Briefings Bioinform.

Publications

Jike Wang, Rui Qin, Mingyang Wang, Meijing Fang, Yangyang Zhang, Yuchen Zhu, Qun Su, Qiaolin Gou, Chao Shen, Odin Zhang, Zhenxing Wu, Dejun Jiang, Xujun Zhang, Huifeng Zhao, Xiaozhe Wan, Zhourui Wu, Liwei Liu, Yu Kang, Chang-Yu Hsieh, Tingjun Hou
Token-Mol 1.0: Tokenized drug design with large language model. CoRR (2024)
Teng-Zhi Long, Dejun Jiang, Shao-Hua Shi, You-Chao Deng, Wen-Xuan Wang, Dong-Sheng Cao
Enhancing Multi-species Liver Microsomal Stability Prediction through Artificial Intelligence. J. Chem. Inf. Model. 64 (8) (2024)
Huifeng Zhao, Dejun Jiang, Chao Shen, Jintu Zhang, Xujun Zhang, Xiaorui Wang, Dou Nie, Tingjun Hou, Yu Kang
Comprehensive Evaluation of 10 Docking Programs on a Diverse Set of Protein-Cyclic Peptide Complexes. J. Chem. Inf. Model. 64 (6) (2024)
Odin Zhang, Haitao Lin, Hui Zhang, Huifeng Zhao, Yufei Huang, Yuansheng Huang, Dejun Jiang, Chang-Yu Hsieh, Peichen Pan, Tingjun Hou
Deep Lead Optimization: Leveraging Generative AI for Structural Modification. CoRR (2024)
Haitao Lin, Odin Zhang, Huifeng Zhao, Dejun Jiang, Lirong Wu, Zicheng Liu, Yufei Huang, Stan Z. Li
PPFlow: Target-aware Peptide Design with Torsional Flow Matching. CoRR (2024)
Ruofan Jin, Qing Ye, Jike Wang, Zheng Cao, Dejun Jiang, Tianyue Wang, Yu Kang, Wanting Xu, Chang-Yu Hsieh, Tingjun Hou
AttABseq: an attention-based deep learning prediction method for antigen-antibody binding affinity changes based on protein sequences. Briefings Bioinform. 25 (4) (2024)
Nanqi Hong, Dejun Jiang, Zhe Wang, Huiyong Sun, Hao Luo, Lingjie Bao, Mingli Song, Yu Kang, Tingjun Hou
TransfIGN: A Structure-Based Deep Learning Method for Modeling the Interaction between HLA-A*02:01 and Antigen Peptides. J. Chem. Inf. Model. 64 (13) (2024)
Chao Shen, Jianfei Song, Chang-Yu Hsieh, Dong-Sheng Cao, Yu Kang, Wenling Ye, Zhenxing Wu, Jike Wang, Odin Zhang, Xujun Zhang, Hao Zeng, Heng Cai, Yu Chen, Linkang Chen, Hao Luo, Xinda Zhao, Tianye Jian, Tong Chen, Dejun Jiang, Mingyang Wang, Qing Ye, Jialu Wu, Hongyan Du, Hui Shi, Yafeng Deng, Tingjun Hou
DrugFlow: An AI-Driven One-Stop Platform for Innovative Drug Discovery. J. Chem. Inf. Model. 64 (14) (2024)
Odin Zhang, Tianyue Wang, Gaoqi Weng, Dejun Jiang, Ning Wang, Xiaorui Wang, Huifeng Zhao, Jialu Wu, Ercheng Wang, Guangyong Chen, Yafeng Deng, Peichen Pan, Yu Kang, Chang-Yu Hsieh, Tingjun Hou
Learning on topological surface and geometric structure for 3D molecular generation. Nat. Comput. Sci. 3 (10) (2023)
Xujun Zhang, Chao Shen, Dejun Jiang, Jintu Zhang, Qing Ye, Lei Xu, Tingjun Hou, Peichen Pan, Yu Kang
TB-IECS: an accurate machine learning-based scoring function for virtual screening. J. Cheminformatics 15 (1) (2023)
Dejun Jiang, Huiyong Sun, Jike Wang, Chang-Yu Hsieh, Yuquan Li, Zhenxing Wu, Dong-Sheng Cao, Jian Wu, Tingjun Hou
Out-of-the-box deep learning prediction of quantum-mechanical partial charges by graph representation and transfer learning. Briefings Bioinform. 23 (2) (2022)
Zhenxing Wu, Dejun Jiang, Jike Wang, Xujun Zhang, Hongyan Du, Lurong Pan, Chang-Yu Hsieh, Dongsheng Cao, Tingjun Hou
Knowledge-based BERT: a method to extract molecular features like computational chemists. Briefings Bioinform. 23 (3) (2022)
Yuquan Li, Chang-Yu Hsieh, Ruiqiang Lu, Xiaoqing Gong, Xiaorui Wang, Pengyong Li, Shuo Liu, Yanan Tian, Dejun Jiang, Jiaxian Yan, Qifeng Bai, Huanxiang Liu, Shengyu Zhang, Xiaojun Yao
An adaptive graph learning method for automated molecular interactions and properties predictions. Nat. Mach. Intell. 4 (7) (2022)
Jike Wang, Huiyong Sun, Jiawen Chen, Dejun Jiang, Zhe Wang, Zhenxing Wu, Xi Chen, Dong-Sheng Cao, Tingjun Hou
machine-learning algorithms. Bioinform. 37 (22) (2021)