Concepedia

Jack Scantlebury

JS

2

Publications

101

Citations

2

H-Index

2020

Active since

Affiliations

University of Johannesburg(Current)

Jack Scantlebury is an author at University of Johannesburg specializing in data science, machine learning, and virtual screening.

Top concepts

MedicineEngineeringData ScienceDeep LearningSystems BiologyMachine LearningVirtual ScreeningComputational BiologyBiophysicsData Mining

Publications per year

2020–2023

2

Publications

2

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, F. von Delft et al. · Journal of Chemical Information and Modeling · 2020 · 55 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +23

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

Jack Scantlebury, Lucy Vost, Anna Carbery et al. · Journal of Chemical Information and Modeling · 2023 · 46 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +27

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