TeachOpenCADD Workflow 7: Ligand-based screening: Machine learning

With the continuously increasing amount of available data, machine learning (ML) gained momentum in drug discovery and especially in ligand-based virtual screening (VS) to predict the activity of novel compounds against a target of interest. In this workflow, different ML models are trained on the filtered ChEMBL dataset to discriminate between active and inactive compounds with respect to a protein target.

This is a companion discussion topic for the original entry at https://kni.me/w/DD6g96Vhy_7ca3y6