Artificial Intelligence | Clinical Medicine | Pharmacology | Traditional Chinese Medicine FordNet: recommending traditional Chinese medicine formula via deep neural network integrating phenotype and molecule. September 4, 2021
Bioinformatics | Pharmacology Machine learning methods, databases and tools for drug combination prediction. September 3, 2021
Bioinformatics | Chemistry | Pharmacology A review on machine learning approaches and trends in drug discovery. September 2, 2021
Bioinformatics | Pharmacology MCN-CPI: Multiscale Convolutional Network for Compound-Protein Interaction Prediction. August 27, 2021
Bioinformatics | Pharmacology Recent omics-based computational methods for COVID-19 drug discovery and repurposing. August 23, 2021
Bioinformatics | Machine Learning | Pharmacology AttentionDDI: Siamese attention-based deep learning method for drug-drug interaction predictions. August 22, 2021
Neurology | Pharmacology | Psychiatry De novo generation of dual-target ligands using adversarial training and reinforcement learning. August 19, 2021
Data Science | Natural Language Processing | Pharmacology DICE: A Drug Indication Classification and Encyclopedia for AI-Based Indication Extraction. August 19, 2021
Oncology | Pharmacology Comparative analysis of molecular fingerprints in prediction of drug combination effects. August 17, 2021
Oncology | Pharmacology AI-Based Drug Discovery of TKIs Targeting L858R/T790M/C797S-Mutant EGFR in Non-small Cell Lung Cancer. August 16, 2021
Bioinformatics | Chemistry | Pharmacology Learning protein-ligand binding affinity with atomic environment vectors. August 15, 2021
Bioinformatics | Pharmacology GraphDTI: A robust deep learning predictor of drug-target interactions from multiple heterogeneous data. August 12, 2021