Jack Scantlebury

According to our database, Jack Scantlebury authored at least 4 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

J. Cheminformatics, December, 2023

A Small Step Toward Generalizability: Training a Machine Learning Scoring Function for Structure-Based Virtual Screening.

Jack Scantlebury, Lucy Vost, Anna Carbery, Thomas E. Hadfield, Oliver M. Turnbull, Nathan Brown, Vijil Chenthamarakshan, Payel Das, Harold Grosjean, Frank von Delft, Charlotte M. Deane

J. Chem. Inf. Model., May, 2023

Deep neural networks for pose validation, affinity prediction, and input attribution.

Jack Scantlebury

PhD thesis, 2023

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, Charlotte M. Deane

J. Chem. Inf. Model., 2020