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Exploring the ability of machine learning-based virtual screening models to identify the functional groups responsible for binding

Many recently proposed structure-based virtual screening models appear to be able to accurately distinguish high affinity binders from non-binders. However, several recent studies have shown that they often do so by exploiting ligand-specific biases in the dataset, rather than identifying favourable...

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Detalles Bibliográficos
Autores principales: Hadfield, Thomas E., Scantlebury, Jack, Deane, Charlotte M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10509074/
https://www.ncbi.nlm.nih.gov/pubmed/37726844
http://dx.doi.org/10.1186/s13321-023-00755-3