Personal information

Drug Metabolism, Machine Learning, Deep Learning
United States

Activities

Employment (1)

Washington University in Saint Louis: Saint Louis, MO, US

2021-06 to present | Physician Resident
Employment
Source: Self-asserted source
Na Le Dang

Education and qualifications (1)

Washington University in Saint Louis: Saint Louis, MO, US

2012-08-01 to 2021-05-21 | MD/PhD (Computational System Biology)
Education
Source: Self-asserted source
Na Le Dang

Works (17)

Longitudinal analysis of risk factors associated with severe acute respiratory coronavirus virus 2 (SARS-CoV-2) infection among hemodialysis patients and healthcare personnel in outpatient hemodialysis centers

Antimicrobial Stewardship & Healthcare Epidemiology
2022 | Journal article
Contributors: Sumanth Gandra; Tingting Li; Kimberly A. Reske; Kate Peacock; Karl G. Hock; Silvana Bommarito; Candace Miller; Henry Stewart; Na Le Dang; Christopher W. Farnsworth et al.
Source: check_circle
Crossref

Predictors of humoral response to SARS-CoV-2 mRNA vaccine BNT162b2 in patients receiving maintenance dialysis

Antimicrobial Stewardship & Healthcare Epidemiology
2022 | Journal article
Part of ISSN: 2732-494X
Source: Self-asserted source
Na Le Dang
grade
Preferred source (of 2)‎

High Energy Channeling and Malleable Transition States: Molecular Dynamics Simulations and Free Energy Landscapes for the Thermal Unfolding of Protein U1A and 13 Mutants

Biomolecules
2022-07 | Journal article | Author
Contributors: Na Le Dang; Anne M. Baranger; David Beveridge
Source: check_circle
Multidisciplinary Digital Publishing Institute
grade
Preferred source (of 2)‎

Modeling Small Molecule Metabolism in Human Liver Microsome to Better Predict Toxicity Risk

2021 | Dissertation or Thesis
Source: Self-asserted source
Na Le Dang

Deep Learning Coordinate-Free Quantum Chemistry

The Journal of Physical Chemistry A
2021-10-14 | Journal article
Part of ISSN: 1089-5639
Part of ISSN: 1520-5215
Source: Self-asserted source
Na Le Dang
grade
Preferred source (of 2)‎

Modeling the Bioactivation and Subsequent Reactivity of Drugs.

Chemical research in toxicology
2021-01-26 | Journal article
Source: Self-asserted source
Na Le Dang
grade
Preferred source (of 2)‎

"Black Box" to "Conversational" Machine Learning: Ondansetron Reduces Risk of Hospital-Acquired Venous Thromboembolism.

IEEE journal of biomedical and health informatics
2020-10-23 | Journal article
Source: Self-asserted source
Na Le Dang
grade
Preferred source (of 2)‎

The Metabolic Forest: Predicting the Diverse Structures of Drug Metabolites.

Journal of chemical information and modeling
2020-09-03 | Journal article
Source: Self-asserted source
Na Le Dang
grade
Preferred source (of 2)‎

XenoNet: Inference and Likelihood of Intermediate Metabolite Formation.

Journal of chemical information and modeling
2020-06-29 | Journal article
Source: Self-asserted source
Na Le Dang
grade
Preferred source (of 2)‎

The Metabolic Rainbow: Deep Learning Phase I Metabolism in Five Colors.

Journal of chemical information and modeling
2020-02-24 | Journal article
Source: Self-asserted source
Na Le Dang
grade
Preferred source (of 2)‎

Lamisil (terbinafine) toxicity: Determining pathways to bioactivation through computational and experimental approaches.

Biochemical pharmacology
2018-08-02 | Journal article
Source: Self-asserted source
Na Le Dang

Computationally Assessing the Bioactivation of Drugs by N-Dealkylation.

Chemical research in toxicology
2018-02-06 | Journal article
Source: Self-asserted source
Na Le Dang

Computational Approach to Structural Alerts: Furans, Phenols, Nitroaromatics, and Thiophenes

Chemical Research in Toxicology
2017-03 | Journal article
Part of ISSN: 0893-228X
Contributors: Na Le Dang; Tyler B. Hughes; Grover P. Miller; S. Joshua Swamidass
Source: Self-asserted source
Na Le Dang via Crossref Metadata Search

A Sign of Disparity: Racial/Ethnic Composition of Treatment Centers is an Independent Risk Factor in SPRINT Trial

2017-02 | Other
Contributors: Mathew Matlock; Na Le Dang; David Brown; S. Joshua Swamidass
Source: Self-asserted source
Na Le Dang via Crossref Metadata Search

Modeling Reactivity to Biological Macromolecules with a Deep Multitask Network

ACS Central Science
2016-08 | Journal article
Contributors: Tyler B. Hughes; Na Le Dang; Grover P. Miller; S. Joshua Swamidass
Source: Self-asserted source
Na Le Dang via Crossref Metadata Search

Open Source Drug Discovery with the Malaria Box Compound Collection for Neglected Diseases and Beyond

PLOS Pathogens
2016-07 | Journal article
Part of ISSN: 1553-7374
Contributors: Wesley C. Van Voorhis; John H. Adams; Roberto Adelfio; Vida Ahyong; Myles H. Akabas; Pietro Alano; Aintzane Alday; Yesmalie Alemán Resto; Aishah Alsibaee; Ainhoa Alzualde et al.
Source: Self-asserted source
Na Le Dang via Crossref Metadata Search

A simple model predicts UGT-mediated metabolism

Bioinformatics
2016-06 | Journal article
Contributors: Na Le Dang; Tyler B. Hughes; Varun Krishnamurthy; S. Joshua Swamidass
Source: Self-asserted source
Na Le Dang via Crossref Metadata Search