Jeffrey L. Mendenhall

发表

BCL::Conf: small molecule conformational sampling using a knowledge based rotamer library

Jens Meiler, Sandeepkumar Kothiwale, Jeffrey L. Mendenhall, 2015, Journal of Cheminformatics.

3D Deep Learning for Biological Function Prediction from Physical Fields

Marcin J. Skwark, Daniel Cremers, Jens Meiler, 2017, 2020 International Conference on 3D Vision (3DV).

BCL::Mol2D—a robust atom environment descriptor for QSAR modeling and lead optimization

Jens Meiler, Jeffrey L. Mendenhall, Oanh Vu, 2019, Journal of Computer-Aided Molecular Design.

Autocorrelation descriptor improvements for QSAR: 2DA_Sign and 3DA_Sign

Jens Meiler, Jeffrey L. Mendenhall, Gregory Sliwoski, 2016, Journal of Computer-Aided Molecular Design.

Benchmarking Ligand-Based Virtual High-Throughput Screening with the PubChem Database

Jens Meiler, C. David Weaver, Edward W. Lowe, 2013, Molecules.

Accurate Prediction of Contact Numbers for Multi-Spanning Helical Membrane Proteins

Jens Meiler, Bian Li, Jeffrey L. Mendenhall, 2016, J. Chem. Inf. Model..

General Purpose Structure-Based Drug Discovery Neural Network Score Functions with Human-Interpretable Pharmacophore Maps

Jens Meiler, Jeffrey L. Mendenhall, Alexander R. Geanes, 2021, J. Chem. Inf. Model..

BCL: : Conf: Improved Open-Source Knowledge-Based Conformation Sampling Using the Crystallography Open Database

Jens Meiler, Sandeepkumar Kothiwale, Jeffrey L. Mendenhall, 2020, J. Chem. Inf. Model..

Calcium-activated nonspecific cation current and synaptic depression promote network-dependent burst oscillations

Jeffrey L. Mendenhall, J. Rubin, J. A. Hayes, 2009, Proceedings of the National Academy of Sciences.

Interfaces Between Alpha-helical Integral Membrane Proteins: Characterization, Prediction, and Docking

Jeffrey L. Mendenhall, J. Meiler, Bian Li, 2019, Computational and structural biotechnology journal.

Improving prediction of helix–helix packing in membrane proteins using predicted contact numbers as restraints

Jeffrey L. Mendenhall, J. Meiler, B. Weiner, 2017, Proteins.

Membrane protein contact and structure prediction using co-evolution in conjunction with machine learning

Marcin J. Skwark, Jens Meiler, Jeffrey L. Mendenhall, 2017, PloS one.

Documentation of an Imperative To Improve Methods for Predicting Membrane Protein Stability

Jens Meiler, Jeffrey L. Mendenhall, Jeffrey D. Blume, 2016, Biochemistry.

4‐Aminopyridine‐sensitive outward currents in preBötzinger complex neurons influence respiratory rhythm generation in neonatal mice

Jeffrey L. Mendenhall, J. A. Hayes, C. D. Del Negro, 2008, The Journal of physiology.

Hierarchy of Three Oscillatory Mechanisms Spatial and Functional Architecture of the Mammalian Brain Stem Respiratory Network: A

Jeffrey L. Mendenhall, J. A. Daubenspeck, R. Bertram, 2008 .

BCL: : Conf: Improved Open-Source Knowledge-Based Conformation Sampling Using the Crystallography Open Database

Jeffrey L. Mendenhall, Benjamin P. Brown, J. Meiler, 2020, J. Chem. Inf. Model..

Introduction to the BioChemical Library (BCL): An Application-Based Open-Source Toolkit for Integrated Cheminformatics and Machine Learning in Computer-Aided Drug Discovery

Edward W. Lowe, Jeffrey L. Mendenhall, Alexander R. Geanes, 2022, Frontiers in Pharmacology.

Predicting the Functional Impact of KCNQ1 Variants of Unknown Significance

Jens Meiler, Bian Li, Jeffrey D Blume, 2017, Circulation. Cardiovascular genetics.

A Multitask Deep-Learning Method for Predicting Membrane Associations and Secondary Structures of Proteins.

Jeffrey L. Mendenhall, J. Meiler, J. Capra, 2021, Journal of proteome research.

Improving quantitative structure–activity relationship models using Artificial Neural Networks trained with dropout

Jens Meiler, Jeffrey Mendenhall, Jeffrey L. Mendenhall, 2016, Journal of Computer-Aided Molecular Design.

Identification of specific ligand-receptor interactions that govern binding and cooperativity of diverse modulators to a common metabotropic glutamate receptor 5 allosteric site.

Jens Meiler, P Jeffrey Conn, Jeffrey L. Mendenhall, 2014, ACS chemical neuroscience.

BCL: : MolAlign: Three-Dimensional Small Molecule Alignment for Pharmacophore Mapping

Jens Meiler, Jeffrey Mendenhall, Jeffrey L. Mendenhall, 2019, J. Chem. Inf. Model..

Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions

Jens Meiler, Daniel Cremers, Alexander Becker, 2020, bioRxiv.

Towards Generalizable Predictions for the Effects of Mutations on G-Protein Coupled Receptor Expression

Jeffrey L. Mendenhall, J. Meiler, Andrew G. McKee, 2021, bioRxiv.

Protein structure aids predicting functional perturbation of missense variants in SCN5A and KCNQ1

Jeffrey L. Mendenhall, C. Sanders, D. Roden, 2019, Computational and structural biotechnology journal.