Jack Scantlebury

Orcid: 0000-0001-9877-0107

According to our database1, Jack Scantlebury authored at least 4 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
Exploring the ability of machine learning-based virtual screening models to identify the functional groups responsible for binding.
J. Cheminformatics, December, 2023

A Small Step Toward Generalizability: Training a Machine Learning Scoring Function for Structure-Based Virtual Screening.
J. Chem. Inf. Model., May, 2023

Deep neural networks for pose validation, affinity prediction, and input attribution.
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.
J. Chem. Inf. Model., 2020


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