Mingyue Zheng
Nanjing University of Chinese Medicine(CN)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Protein Structure and Dynamics, Machine Learning in Materials Science, Bioinformatics and Genomic Networks, Chemical Synthesis and Analysis
Most-Cited Works
- → Pushing the Boundaries of Molecular Representation for Drug Discovery with the Graph Attention Mechanism(2019)978 cited
- → TransformerCPI: improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(2020)533 cited
- → Preclinical characterization of anlotinib, a highly potent and selective vascular endothelial growth factor receptor‐2 inhibitor(2018)365 cited
- → In silico ADME/T modelling for rational drug design(2015)346 cited
- → Artificial intelligence in drug design(2018)249 cited
- → Generative Models for De Novo Drug Design(2021)221 cited
- → Regulating Glucose Metabolism with Prodrug Nanoparticles for Promoting Photoimmunotherapy of Pancreatic Cancer(2021)191 cited
- → Engineered bioorthogonal POLY-PROTAC nanoparticles for tumour-specific protein degradation and precise cancer therapy(2022)190 cited
- → Graph neural networks for automated de novo drug design(2021)188 cited
- → Optimization of metabolomic data processing using NOREVA(2021)176 cited