Drug design | Medicinal Chemistry AIScaffold: A Web-Based Tool for Scaffold Diversification Using Deep Learning. December 28, 2020
Bioinformatics | Pharmacology Deep Learning in Drug Design: Protein-Ligand Binding Affinity Prediction. December 28, 2020
Bioinformatics | Drug Discovery Predicting Hot Spots Using a Deep Neural Network Approach. August 17, 2020
Bioinformatics | Drug design | Medicine MolAICal: a soft tool for 3D drug design of protein targets by artificial intelligence and classical algorithm. August 11, 2020
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
Computer Science | Pharmaceutical Sciences Guidelines for RNN Transfer Learning Based Molecular Generation of Focussed Libraries. July 13, 2020
Pharmacology Artificial intelligence teaches drugs to target proteins by tackling the induced folding problem. June 19, 2020
Bioinformatics | Pharmacology | Structural Biology DeepBindPoc: a deep learning method to rank ligand binding pockets using molecular vector representation. April 15, 2020
Artificial Intelligence | Pharmaceutical Sciences Has Drug Design Augmented by Artificial Intelligence Become a Reality? October 20, 2019
Drug design | Molecular Biology | Pharmacology FRSite: Protein drug binding site prediction based on faster R-CNN. October 3, 2019
Drug design | Pharmacology Toxicity Prediction Method Based on Multi-Channel Convolutional Neural Network. September 19, 2019
Bioinformatics | Pharmaceutical Sciences Improving the Virtual Screening Ability of Target-Specific Scoring Functions Using Deep Learning Methods. September 11, 2019