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Ligandability and druggability assessment via machine learning

Ligandability and druggability assessment via machine learning

Druggability assessment of protein–protein interfaces

Druggability Assessment in TRAPP Using Machine Learning Approaches

Spatiotemporal identification of druggable binding sites using deep learning

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

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

Druggability Assessment in TRAPP Using Machine Learning Approaches

Ligandability and druggability assessment via machine learning - Di Palma - 2023 - WIREs Computational Molecular Science - Wiley Online Library

Identifying Druggable Therapeutic Targets: Unveiling promising avenues in Drug discovery

Roadmap: Unlocking machine learning for drug discovery - Bessemer Venture Partners

Applications of machine learning in computer-aided drug discovery, QRB Discovery

A review on machine learning approaches and trends in drug discovery - ScienceDirect

TargetDB: A target information aggregation tool and tractability predictor