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Journal of Cheminformatics
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September 19, 2023
Exploring the ability of machine learning-based virtual screening models to identify the functional groups responsible for binding
Thomas E Hadfield, Jack Scantlebury, Charlotte M Deane
Journal of Chemical Information and Modeling
|
July 24, 2020
Data Set Augmentation Allows Deep Learning-Based Virtual Screening to Better Generalize to Unseen Target Classes and Highlight Important Binding Interactions
Jack Scantlebury, Nathan Brown, Frank Von Delft, et al.
Journal of Chemical Information and Modeling
|
May 11, 2023
A Small Step Toward Generalizability: Training a Machine Learning Scoring Function for Structure-Based Virtual Screening
Jack Scantlebury, Lucy Vost, Anna Carbery, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 3) with videos related to
Sort By:
Page
of 1
Journal of Cheminformatics
|
September 19, 2023
Exploring the ability of machine learning-based virtual screening models to identify the functional groups responsible for binding
Thomas E Hadfield, Jack Scantlebury, Charlotte M Deane
Journal of Chemical Information and Modeling
|
July 24, 2020
Data Set Augmentation Allows Deep Learning-Based Virtual Screening to Better Generalize to Unseen Target Classes and Highlight Important Binding Interactions
Jack Scantlebury, Nathan Brown, Frank Von Delft, et al.
Journal of Chemical Information and Modeling
|
May 11, 2023
A Small Step Toward Generalizability: Training a Machine Learning Scoring Function for Structure-Based Virtual Screening
Jack Scantlebury, Lucy Vost, Anna Carbery, et al.
Page
of 1