Bioinformatics | Oncology | Pharmacology Identification of associations between lncRNA and drug resistance based on deep learning and attention mechanism. May 14, 2023
Pharmacology | Virology AI-Driven De Novo Design and Molecular Modeling for Discovery of Small-Molecule Compounds as Potential Drug Candidates Targeting SARS-CoV-2 Main Protease. May 13, 2023
Drug Discovery | Pharmacology MSGNN-DTA: Multi-Scale Topological Feature Fusion Based on Graph Neural Networks for Drug-Target Binding Affinity Prediction. May 13, 2023
Chemistry | Pharmacology An Interpretable Multitask Framework BiLAT Enables Accurate Prediction of Cyclin-Dependent Protein Kinase Inhibitors. May 12, 2023
Cell Biology | Pharmacology Rapid and Accurate Identification of Cell Phenotypes of Different Drug Mechanisms by Using Single-Cell Fluorescence Images Via Deep Learning. May 10, 2023
Addiction Medicine | Neuroscience | Pharmacology De Novo Design of κ-Opioid Receptor Antagonists Using a Generative Deep Learning Framework. May 10, 2023
Artificial Intelligence | Pharmacology The application of artificial intelligence to accelerate GPCR drug discovery. May 10, 2023
Pharmacology | Systems Biology Hierarchical multi-omics data integration and modeling predict cell-specific chemical proteomics and drug responses. May 9, 2023
Developmental Biology | Pharmacology EmbryoNet: using deep learning to link embryonic phenotypes to signaling pathways. May 8, 2023
Bioinformatics | Computational Biology | Pharmacology Predicting cellular responses to complex perturbations in high-throughput screens. May 8, 2023
Bioinformatics | Oncology | Pharmacology DeepAR: a novel deep learning-based hybrid framework for the interpretable prediction of androgen receptor antagonists. May 6, 2023