Computer based Information Systems and Managers' Work - Chris Kimble; Kevin McLoughlin (CoRR, 2001)

The Long Development of Prison Libraries in France. - Odile Cramard; Kevin McLoughlin (Libr. Trends, 2011)

Quantifying Overfitting Potential in Drug Binding Datasets. - Brian Davis; Kevin McLoughlin; Jonathan E. Allen; Sally R. Ellingson (ICCS (3), 2020)

AMPL: A Data-Driven Modeling Pipeline for Drug Discovery. - Amanda J. Minnich; Kevin McLoughlin; Margaret Tse; Jason Deng; Andrew Weber; Neha Murad; Benjamin D. Madej; Bharath Ramsundar; Tom Rush; Stacie Calad-Thomson; Jim Brase; Jonathan E. Allen (J. Chem. Inf. Model., 2020)

High-throughput virtual screening of small molecule inhibitors for SARS-CoV-2 protein targets with deep fusion models. - Garrett A. Stevenson; Derek Jones; Hyojin Kim 001; W. F. Drew Bennett; Brian J. Bennion; Monica Borucki; Feliza Bourguet; Aidan Epstein; Magdalena Franco; Brooke Harmon; Stewart He; Max P. Katz; et al. (SC, 2021)

Enabling rapid COVID-19 small molecule drug design through scalable deep learning of generative models. - Sam Ade Jacobs; Tim Moon; Kevin McLoughlin; Derek Jones; David Hysom; Dong H. Ahn; John C. Gyllenhaal; Pythagoras Watson; Felice C. Lightstone; Jonathan E. Allen; Ian Karlin; Brian Van Essen (Int. J. High Perform. Comput. Appl., 2021)

Machine Learning Models to Predict Inhibition of the Bile Salt Export Pump. - Kevin McLoughlin; Claire G. Jeong; Thomas D. Sweitzer; Amanda J. Minnich; Margaret Tse; Brian J. Bennion; Jonathan E. Allen; Stacie Calad-Thomson; Tom Rush; Jim Brase (J. Chem. Inf. Model., 2021)

Evaluating Point-Prediction Uncertainties in Neural Networks for Drug Discovery. - Ya Ju Fan; Jonathan E. Allen; Kevin S. McLoughlin; Da Shi; Brian J. Bennion; Xiaohua Zhang; Felice C. Lightstone (CoRR, 2022)