Machine Learning | Nephrology | Pharmacology A Prediction Model for Tacrolimus Daily Dose in Kidney Transplant Recipients With Machine Learning and Deep Learning Techniques. June 17, 2022
Bioinformatics | Deep Learning | Pharmacology Explainable deep drug-target representations for binding affinity prediction. June 17, 2022
Forensic Science | Pharmacology Multi-scale convolution neural network with residual modules for determination of drugs in human hair using surface-enhanced Raman spectroscopy with a gold nanorod film self-assembled by inverted evaporation. June 17, 2022
Drug Discovery | Pharmacology Exploring Low-Toxicity Chemical Space with Deep Learning for Molecular Generation. June 17, 2022
Cardiology | Oncology | Pharmacology Classification models and SAR analysis on thromboxane A synthase inhibitors by machine learning methods. June 16, 2022
Bioinformatics | Cardiology | Pharmacology BayeshERG: a robust, reliable and interpretable deep learning model for predicting hERG channel blockers. June 16, 2022
Bioinformatics | Drug Discovery | Pharmacology Multiphysical graph neural network (MP-GNN) for COVID-19 drug design. June 13, 2022
Pharmacology Multi-type feature fusion based on graph neural network for drug-drug interaction prediction. June 10, 2022
Artificial Intelligence | Bioinformatics | Pharmacology DeepMHADTA: Prediction of Drug-Target Binding Affinity Using Multi-Head Self-Attention and Convolutional Neural Network. June 9, 2022
Drug Use | Pharmacology | Public Health Knowledge-Driven Drug-Use NamedEntity Recognition with Distant Supervision. June 8, 2022
Bioinformatics | Computer-Aided Drug Design | Pharmacology Sfcnn: a novel scoring function based on 3D convolutional neural network for accurate and stable protein-ligand affinity prediction. June 8, 2022
Biochemistry | Cell Biology | Pharmacology Live-cell microscopy or fluorescence anisotropy with budded baculoviruses-which way to go with measuring ligand binding to M muscarinic receptors? June 8, 2022