Dejun Jiang
Hangzhou, 310058, China
Last Updated: 09/26/2026
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Found 31 publications
ProphDR: An Interpretable Deep Learning Model for Predicting Cancer Drug Response via Multi-Omics and Cross-Attention Mechanisms.
Journal: Journal of chemical information and modeling
Published: July 13, 2026
Token-Mol 1.0: tokenized drug design with large language models.
Journal: Nature communications
Published: August 22, 2024
TransfIGN: A Structure-Based Deep Learning Method for Modeling the Interaction between HLA-A*02:01 and Antigen Peptides.
Journal: Journal of chemical information and modeling
Published: June 26, 2024
DrugFlow: An AI-Driven One-Stop Platform for Innovative Drug Discovery.
Journal: Journal of chemical information and modeling
Published: June 26, 2024
Multi-modal deep learning enables efficient and accurate annotation of enzymatic active sites.
Journal: Nature communications
Published: March 31, 2024
Assessing the performance of MM/PBSA and MM/GBSA methods. 10. Prediction reliability of binding affinities and binding poses for RNA-ligand complexes.
Journal: Physical chemistry chemical physics : PCCP
Published: March 19, 2024
Comprehensive Evaluation of 10 Docking Programs on a Diverse Set of Protein-Cyclic Peptide Complexes.
Journal: Journal of chemical information and modeling
Published: March 14, 2024
AttABseq: an attention-based deep learning prediction method for antigen-antibody binding affinity changes based on protein sequences.
Journal: Briefings in bioinformatics
Published: November 09, 2023
A flexible data-free framework for structure-based de novo drug design with reinforcement learning.
Journal: Chemical science
Published: August 06, 2023
How Good Are Current Docking Programs at Nucleic Acid-Ligand Docking? A Comprehensive Evaluation.
Journal: Journal of chemical theory and computation
Published: July 22, 2023
Generic Interpretable Reaction Condition Predictions with Open Reaction Condition Datasets and Unsupervised Learning of Reaction Center.
Journal: Research (Washington, D.C.)
Published: June 01, 2023
Last Updated: 09/26/2026