Chao Shen
Anhui University(CN)Fudan University(CN)Jiangsu University of Science and Technology(CN)First Affiliated Hospital Zhejiang University(CN)Zhejiang University(CN)Xi'an Jiaotong University(CN)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Protein Structure and Dynamics, Machine Learning in Materials Science, Bioinformatics and Genomic Networks, Microbial Natural Products and Biosynthesis
Most-Cited Works
- → Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models(2021)594 cited
- → From machine learning to deep learning: Advances in scoring functions for protein–ligand docking(2019)254 cited
- → InteractionGraphNet: A Novel and Efficient Deep Graph Representation Learning Framework for Accurate Protein–Ligand Interaction Predictions(2021)236 cited
- → Boosting Protein–Ligand Binding Pose Prediction and Virtual Screening Based on Residue–Atom Distance Likelihood Potential and Graph Transformer(2022)172 cited
- → Efficient and accurate large library ligand docking with KarmaDock(2023)139 cited
- → ADMET Evaluation in Drug Discovery. 19. Reliable Prediction of Human Cytochrome P450 Inhibition Using Artificial Intelligence Approaches(2019)