Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition - ScienceDirect
Identifying Druggable Therapeutic Targets: Unveiling promising avenues in Drug discovery
Druggability assessment of protein-protein interfaces.
Cureus Artificial Intelligence and Machine Learning in Pharmacological Research: Bridging the Gap Between Data and Drug Discovery
DrugnomeAI is an ensemble machine-learning framework for predicting druggability of candidate drug targets
Ligandability and druggability assessment via machine learning - Di Palma - 2023 - WIREs Computational Molecular Science - Wiley Online Library
Druggability of protein–protein interactions Understanding and Exploiting Protein–Protein Interactions as Drug Targets
TargetDB: A target information aggregation tool and tractability predictor
Frontiers Probabilistic Pocket Druggability Prediction via One-Class Learning
DrugnomeAI is an ensemble machine-learning framework for predicting druggability of candidate drug targets
Axial on X: Frontier Medicines @FrontierMeds develops medicines against disease-causing proteins previously considered undruggable. Founded in 2016, the company's platform is based on a combination of technologies: chemoproteomics, covalent drug
Identifying Druggable Therapeutic Targets: Unveiling promising avenues in Drug discovery
Roadmap: Unlocking machine learning for drug discovery - Bessemer Venture Partners