BCL: : Conf: small molecule conformational sampling using a knowledge based rotamer library. - Sandeepkumar Kothiwale; Jeffrey L. Mendenhall; Jens Meiler (J. Cheminformatics, 2015)

Improving quantitative structure-activity relationship models using Artificial Neural Networks trained with dropout. - Jeffrey L. Mendenhall; Jens Meiler (J. Comput. Aided Mol. Des., 2016)

Autocorrelation descriptor improvements for QSAR: 2DA_Sign and 3DA_Sign. - Gregory Sliwoski; Jeffrey L. Mendenhall; Jens Meiler (J. Comput. Aided Mol. Des., 2016)

Accurate Prediction of Contact Numbers for Multi-Spanning Helical Membrane Proteins. - Bian Li; Jeffrey L. Mendenhall; Elizabeth Dong Nguyen; Brian E. Weiner; Axel W. Fischer; Jens Meiler (J. Chem. Inf. Model., 2016)

BCL: : Mol2D - a robust atom environment descriptor for QSAR modeling and lead optimization. - Oanh Vu; Jeffrey L. Mendenhall; Doaa Altarawy; Jens Meiler (J. Comput. Aided Mol. Des., 2019)

BCL: : MolAlign: Three-Dimensional Small Molecule Alignment for Pharmacophore Mapping. - Benjamin P. Brown; Jeffrey L. Mendenhall; Jens Meiler (J. Chem. Inf. Model., 2019)

3D Deep Learning for Biological Function Prediction from Physical Fields. - Vladimir Golkov; Marcin J. Skwark; Atanas Mirchev; Georgi Dikov; Alexander R. Geanes; Jeffrey L. Mendenhall; Jens Meiler; Daniel Cremers (3DV, 2020)

Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions. - Vladimir Golkov; Alexander Becker; Daniel T. Plop; Daniel Cuturilo; Neda Davoudi; Jeffrey L. Mendenhall; Rocco Moretti; Jens Meiler; Daniel Cremers (CoRR, 2020)

General Purpose Structure-Based Drug Discovery Neural Network Score Functions with Human-Interpretable Pharmacophore Maps. - Benjamin P. Brown; Jeffrey L. Mendenhall; Alexander R. Geanes; Jens Meiler (J. Chem. Inf. Model., 2021)

BCL: : Conf: Improved Open-Source Knowledge-Based Conformation Sampling Using the Crystallography Open Database. - Jeffrey L. Mendenhall; Benjamin P. Brown; Sandeepkumar Kothiwale; Jens Meiler (J. Chem. Inf. Model., 2021)