Exploring QSAR models for activity-cliff prediction

Abstract Introduction and methodology Pairs of similar compounds that only differ by a small structural modification but exhibit a large difference in their binding affinity for a given target are known as activity cliffs (ACs). It has been hypothesised that QSAR models struggle to predict ACs and t...

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Bibliographic Details
Main Authors: Markus Dablander, Thierry Hanser, Renaud Lambiotte, Garrett M. Morris
Format: Article
Language:English
Published: BMC 2023-04-01
Series:Journal of Cheminformatics
Subjects:
Online Access:https://doi.org/10.1186/s13321-023-00708-w