Jeffrey Mendenhall

Jeffrey Mendenhall

Vanderbilt University

H-index: 14

North America-United States

About Jeffrey Mendenhall

Jeffrey Mendenhall, With an exceptional h-index of 14 and a recent h-index of 13 (since 2020), a distinguished researcher at Vanderbilt University,

His recent articles reflect a diverse array of research interests and contributions to the field:

Towards generalizable predictions for G protein-coupled receptor variant expression

Introduction to the BioChemical Library (BCL): An application-based open-source toolkit for integrated cheminformatics and machine learning in computer-aided drug discovery

Tutorial 3: Quantitative structure-activity/property relationship (QSAR/QSPR) modeling and analysis

General purpose structure-based drug discovery neural network score functions with human-interpretable pharmacophore maps

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

A multitask deep-learning method for predicting membrane associations and secondary structures of proteins

Toward automated design of mutant-selective tyrosine kinase inhibitors using dynamic pharmacophore mapping and machine learning

Efficient sampling of protein loop regions using conformational hashing complemented with random coordinate descent

Jeffrey Mendenhall Information

University

Position

___

Citations(all)

789

Citations(since 2020)

485

Cited By

487

hIndex(all)

14

hIndex(since 2020)

13

i10Index(all)

17

i10Index(since 2020)

14

Email

University Profile Page

Vanderbilt University

Google Scholar

View Google Scholar Profile

Top articles of Jeffrey Mendenhall

Title

Journal

Author(s)

Publication Date

Towards generalizable predictions for G protein-coupled receptor variant expression

Biophysical Journal

Charles P Kuntz

Hope Woods

Andrew G McKee

Nathan B Zelt

Jeffrey L Mendenhall

...

2022/7/19

Introduction to the BioChemical Library (BCL): An application-based open-source toolkit for integrated cheminformatics and machine learning in computer-aided drug discovery

Frontiers in pharmacology

Benjamin P Brown

Oanh Vu

Alexander R Geanes

Sandeepkumar Kothiwale

Mariusz Butkiewicz

...

2022/2/21

Tutorial 3: Quantitative structure-activity/property relationship (QSAR/QSPR) modeling and analysis

Benjamin P Brown

Jeffrey Mendenhall

2022/1

General purpose structure-based drug discovery neural network score functions with human-interpretable pharmacophore maps

Journal of chemical information and modeling

Benjamin P Brown

Jeffrey Mendenhall

Alexander R Geanes

Jens Meiler

2021/1/26

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

bioRxiv

Charles P Kuntz

Hope Woods

Andrew G McKee

Nathan B Zelt

Jeffrey L Mendenhall

...

2021/12/28

A multitask deep-learning method for predicting membrane associations and secondary structures of proteins

Journal of proteome research

Bian Li

Jeffrey Mendenhall

John A Capra

Jens Meiler

2021/7/8

Toward automated design of mutant-selective tyrosine kinase inhibitors using dynamic pharmacophore mapping and machine learning

Clinical Cancer Research

Benjamin P Brown

Jeffrey Mendenhall

Christine Lovly

Jens Meiler

2020/6/15

Efficient sampling of protein loop regions using conformational hashing complemented with random coordinate descent

Journal of Chemical Theory and Computation

Diego Del Alamo

Axel W Fischer

Rocco Moretti

Nathan S Alexander

Jeffrey Mendenhall

...

2020/12/29

BCL:: Conf: improved open-source knowledge-based conformation sampling using the crystallography open database

Journal of chemical information and modeling

Jeffrey Mendenhall

Benjamin P Brown

Sandeepkumar Kothiwale

Jens Meiler

2020/12/22

A multi-task deep-learning system for predicting membrane associations and secondary structures of proteins

bioRxiv

Bian Li

Jeffrey Mendenhall

John A Capra

Jens Meiler

2020/12/3

3D deep learning for biological function prediction from physical fields

Vladimir Golkov

Marcin J Skwark

Atanas Mirchev

Georgi Dikov

Alexander R Geanes

...

2020/11/25

Deep learning for virtual screening: five reasons to use ROC cost functions

arXiv preprint arXiv:2007.07029

Vladimir Golkov

Alexander Becker

Daniel T Plop

Daniel Čuturilo

Neda Davoudi

...

2020/6/25

See List of Professors in Jeffrey Mendenhall University(Vanderbilt University)