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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2023-04-01
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Series: | Journal of Cheminformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13321-023-00708-w |