"Data Set Augmentation Allows Deep Learning-Based Virtual Screening to ..."

Jack Scantlebury et al. (2020)

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DOI: 10.1021/ACS.JCIM.0C00263

access: closed

type: Journal Article

metadata version: 2021-09-01

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  - journals/jcisd/ScantleburyBDD20
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  - https://dblp.org/rec/journals/jcisd/ScantleburyBDD20
Jack Scantlebury, Nathan Brown, Frank von Delft, Charlotte M. Deane:
Data Set Augmentation Allows Deep Learning-Based Virtual Screening to Better Generalize to Unseen Target Classes and Highlight Important Binding Interactions. J. Chem. Inf. Model. 60(8): 3722-3730 (2020)

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