Bioinformatics | Computer Science | Pharmacology Comprehensive strategies of machine-learning-based quantitative structure-activity relationship models. September 23, 2021
Drug Discovery | Pharmacology Prediction Model of Clearance by a Novel Quantitative Structure-Activity Relationship Approach, Combination DeepSnap-Deep Learning and Conventional Machine Learning. September 22, 2021
Infectious Diseases | Pharmacology New Insights Into Drug Repurposing for COVID-19 Using Deep Learning. September 21, 2021
Health Informatics | Machine Learning | Pharmacology Attention-Gated Graph Convolutions for Extracting Drug Interaction Information from Drug Labels. September 20, 2021
Artificial Intelligence | Bioinformatics | Pharmacology The rise of deep learning and transformations in bioactivity prediction power of molecular modeling tools. September 17, 2021
Neurology | Pharmacology Ensemble modeling with machine learning and deep learning to provide interpretable generalized rules for classifying CNS drugs with high prediction power. September 16, 2021
Bioinformatics | Oncology | Pharmacology How much can deep learning improve prediction of the responses to drugs in cancer cell lines? September 16, 2021
Infectious Diseases | Pharmacology | Virology Deep learning identifies synergistic drug combinations for treating COVID-19. September 16, 2021
Oncology | Pharmacology A cross-study analysis of drug response prediction in cancer cell lines. September 15, 2021
Bioinformatics | Oncology | Pharmacology SWnet: a deep learning model for drug response prediction from cancer genomic signatures and compound chemical structures. September 11, 2021
Chemoinformatics | Pharmacology Using molecular embeddings in QSAR modeling: does it make a difference? September 9, 2021
Drug Discovery | Infectious Diseases | Pharmacology Screening Anti-inflammatory, Anticoagulant, and Respiratory Agents for SARS-CoV-2 3CL Inhibition from Chemical Fingerprints Through a Deep Learning Approach. September 8, 2021