MolAnchor method for explaining compound predictions based on substructures

In medicinal chemistry, the impact of machine learning remains limited if predictions are not understood, which often precludes experimental follow-up. Therefore, chemically intuitive approaches that aid in model understanding and interpretation at the molecular level of detail are sought after. Whi...

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Bibliographic Details
Main Authors: Alec Lamens, Jürgen Bajorath
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:European Journal of Medicinal Chemistry Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S277241742400102X
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