Finding the most potent compounds using active learning on molecular pairs

• Zachary Fralish and
• Daniel Reker

Beilstein J. Org. Chem. 2024, 20, 2152–2162, doi:10.3762/bjoc.20.185

• regimes by enabling faster and more accurate identification of more diverse molecular hits against critical drug targets. Keywords: active learning; drug design; machine learning; molecular optimization; potency predictions; Introduction Active learning is a powerful concept in molecular machine