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Na Le Dang
Na Le Dang
MD PhD at Washington University in St Louis School of Medicine
Verified email at wustl.edu
Title
Cited by
Cited by
Year
Open source drug discovery with the malaria box compound collection for neglected diseases and beyond
WC Van Voorhis, JH Adams, R Adelfio, V Ahyong, MH Akabas, P Alano, ...
PLoS pathogens 12 (7), e1005763, 2016
2912016
Modeling reactivity to biological macromolecules with a deep multitask network
TB Hughes, NL Dang, GP Miller, SJ Swamidass
ACS central science 2 (8), 529-537, 2016
952016
A simple model predicts UGT-mediated metabolism
NL Dang, TB Hughes, V Krishnamurthy, SJ Swamidass
Bioinformatics 32 (20), 3183-3189, 2016
682016
Computational approach to structural alerts: furans, phenols, nitroaromatics, and thiophenes
NL Dang, TB Hughes, GP Miller, SJ Swamidass
Chemical research in toxicology 30 (4), 1046-1059, 2017
392017
Computationally assessing the bioactivation of drugs by N-dealkylation
NL Dang, TB Hughes, GP Miller, SJ Swamidass
Chemical research in toxicology 31 (2), 68-80, 2018
342018
‘Black box’to ‘conversational’machine learning: Ondansetron reduces risk of hospital-acquired venous thromboembolism
A Datta, MK Matlock, N Le Dang, T Moulin, KF Woeltje, EL Yanik, ...
IEEE Journal of Biomedical and Health Informatics 25 (6), 2204-2214, 2020
322020
The Metabolic Rainbow: Deep Learning Phase I Metabolism in Five Colors
JSS Na Le Dang, Matthew K. Matlock, Tyler B. Hughes
J. Chem. Inf. Model., 2020
312020
Learning a local-variable model of aromatic and conjugated systems
MK Matlock, NL Dang, SJ Swamidass
ACS Central Science 4 (1), 52-62, 2018
272018
Lamisil (terbinafine) toxicity: Determining pathways to bioactivation through computational and experimental approaches
DA Barnette, MA Davis, NL Dang, AS Pidugu, T Hughes, SJ Swamidass, ...
Biochemical pharmacology 156, 10-21, 2018
222018
XenoNet: inference and likelihood of intermediate metabolite formation
NR Flynn, NL Dang, MD Ward, SJ Swamidass
Journal of chemical information and modeling 60 (7), 3431-3449, 2020
182020
Deep learning long-range information in undirected graphs with wave networks
MK Matlock, A Datta, N Le Dang, K Jiang, SJ Swamidass
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
182019
Metabolic forest: predicting the diverse structures of drug metabolites
TB Hughes, NL Dang, A Kumar, NR Flynn, SJ Swamidass
Journal of chemical information and modeling 60 (10), 4702-4716, 2020
122020
Modeling the bioactivation and subsequent reactivity of drugs
TB Hughes, N Flynn, NL Dang, SJ Swamidass
Chemical research in toxicology 34 (2), 584-600, 2021
102021
Deep learning coordinate-free quantum chemistry
MK Matlock, M Hoffman, NL Dang, DL Folmsbee, LA Langkamp, ...
The Journal of Physical Chemistry A 125 (40), 8978-8986, 2021
72021
Na Le Dang, Grover P
TB Hughes
Miller, and S. Joshua Swamidass. Modeling Reactivity to Biological …, 2016
72016
Na Le Dang, Kevin Jiang, and S Joshua Swamidass. Deep learning long-range information in undirected graphs with wave networks
MK Matlock, A Datta
IJCNN, 0
4
Predictors of humoral response to SARS-CoV-2 mRNA vaccine BNT162b2 in patients receiving maintenance dialysis
T Li, S Gandra, KA Reske, MA Olsen, S Bommarito, C Miller, KG Hock, ...
Antimicrobial Stewardship & Healthcare Epidemiology 2 (1), e48, 2022
32022
SARS-CoV-2 Infection Risk Factors among Maintenance Hemodialysis Patients and Health Care Personnel In Outpatient Hemodialysis Centers
S Gandra, T Li, KA Reske, N Le Dang, CW Farnsworth, KG Hock, C Miller, ...
Kidney360 2 (6), 996-1001, 2021
12021
High Energy Channeling and Malleable Transition States: Molecular Dynamics Simulations and Free Energy Landscapes for the Thermal Unfolding of Protein U1A and 13 Mutants
NL Dang, AM Baranger, DL Beveridge
Biomolecules 12 (7), 940, 2022
2022
Predictors of humoral response to SARS-CoV-2 mRNA vaccine BNT162b2 in patients receiving maintenance dialysis
L Tingting, S Gandra, KA Reske, MA Olsen, S Bommarito, C Miller, ...
2022
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