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Beware of Simple Methods for Structure-Based Virtual Screening: The Critical Importance of Broader Comparisons
Viet-Khoa Tran-Nguyen1, Pedro J Ballester2
1Centre de Recherche en Cancérologie de Marseille, Marseille 13009, France.
Journal of Chemical Information and Modeling
|February 27, 2023
Abstract:
We discuss how data unbiasing and simple methods such as protein-ligand Interaction FingerPrint (IFP) can overestimate virtual screening performance. We also show that IFP is strongly outperformed by target-specific machine-learning scoring functions, which were not considered in a recent report concluding that simple methods were better than machine-learning scoring functions at virtual screening.
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