Artificial Intelligence | Bioinformatics | Pharmacology Relevant Applications of Generative Adversarial Networks in Drug Design and Discovery: Molecular Design, Dimensionality Reduction, and Peptide and Protein Design. August 6, 2020
Biochemistry | Pharmacology Predictive modeling by deep learning, virtual screening and molecular dynamics study of natural compounds against SARS-CoV-2 main protease. August 5, 2020
Neuropsychiatry | Neuroscience | Pharmacology Automated design and optimization of multitarget schizophrenia drug candidates by deep learning. August 5, 2020
Bioinformatics | Drug Discovery | Pharmacology A deep learning framework for high-throughput mechanism-driven phenotype compound screening. August 4, 2020
Oncology | Pharmacology Efficient prediction of drug-drug interaction using deep learning models. August 3, 2020
Bioinformatics | Pharmacology A Pilot Study of Multi-Input Recurrent Neural Networks for Drug-Kinase Binding Prediction. August 1, 2020
Bioinformatics | Pharmacology | Precision Medicine Predicting human microbe-disease associations via graph attention networks with inductive matrix completion. July 29, 2020
Dermatology | Pharmacology Label-free Quantification of Pharmacokinetics in Skin with Stimulated Raman Scattering Microscopy and Deep Learning. July 25, 2020
Bioinformatics | Pharmacology Dataset Augmentation Allows Deep Learning-Based Virtual Screening To Better Generalize To Unseen Target Classes, And Highlight Important Binding Interactions. July 23, 2020
Chemistry | Drug Discovery | Pharmacology A deep-learning view of chemical space designed to facilitate drug discovery. July 22, 2020
Drug Discovery | Pharmacology Advancing computer-aided drug discovery (CADD) by big data and data-driven machine learning modeling. July 14, 2020
Pharmacology | Therapeutics Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning. July 13, 2020