Ligandability and druggability assessment via machine learning

Full article: Use of machine learning approaches for novel drug discovery

Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition - ScienceDirect

Machine Learning in Drug Discovery: A Review

DrugPred_RNA—A Tool for Structure-Based Druggability Predictions for RNA Binding Sites

Frontiers Probabilistic Pocket Druggability Prediction via One-Class Learning

Druggability Assessment in TRAPP Using Machine Learning Approaches

DrugnomeAI is an ensemble machine-learning framework for predicting druggability of candidate drug targets

Immunocure Discovery Solutions

Spatiotemporal identification of druggable binding sites using deep learning

Frontiers The druggable genome: Twenty years later

The applications of deep learning algorithms on in silico druggable proteins identification - ScienceDirect