Na Le Dang

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 8

Top Topics

Molecular Dynamics

Convolutional Neural Network

Top Venues

Journal of chemical information and modeling

Antimicrobial stewardship & healthcare epidemiology : ASHE

Chemical research in toxicology

This page only lists publications with an associated author ORCID identifier.

Publications

Na Le Dang, Anne M Baranger, David L Beveridge
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 12 (7) (2022)
Sumanth Gandra, Tingting Li, Kimberly A Reske, Kate Peacock, Karl G Hock, Silvana Bommarito, Candace Miller, Henry Stewart, Na Le Dang, Christopher W Farnsworth, Margaret A Olsen, Jennie H Kwon, David K Warren, Victoria J Fraser, null null
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 : ASHE 2 (1) (2022)
Tingting Li, Sumanth Gandra, Kimberly A Reske, Margaret A Olsen, Silvana Bommarito, Candace Miller, Karl G Hock, Claire A Ballman, Christina Jean Su, Na Le Dang, Jennie H Kwon, David K Warren, Victoria J Fraser, Christopher W Farnsworth, null null
Predictors of humoral response to SARS-CoV-2 mRNA vaccine BNT162b2 in patients receiving maintenance dialysis. Antimicrobial stewardship & healthcare epidemiology : ASHE 2 (1) (2022)
Matthew K Matlock, Max Hoffman, Na Le Dang, Dakota L Folmsbee, Luke A Langkamp, Geoffrey R Hutchison, Neeraj Kumar, Kathryn Sarullo, S Joshua Swamidass
Deep Learning Coordinate-Free Quantum Chemistry. The journal of physical chemistry. A 125 (40) (2021)
Tyler B Hughes, Noah R Flynn, Na Le Dang, S Joshua Swamidass
Modeling the Bioactivation and Subsequent Reactivity of Drugs. Chemical research in toxicology 34 (2) (2021)
Noah R Flynn, Na Le Dang, Michael D Ward, S Joshua Swamidass
XenoNet: Inference and Likelihood of Intermediate Metabolite Formation. Journal of chemical information and modeling 60 (7) (2020)
Na Le Dang, Matthew K Matlock, Tyler B Hughes, S Joshua Swamidass
The Metabolic Rainbow: Deep Learning Phase I Metabolism in Five Colors. Journal of chemical information and modeling 60 (3) (2020)
Tyler B Hughes, Na Le Dang, Ayush Kumar, Noah R Flynn, S Joshua Swamidass
Metabolic Forest: Predicting the Diverse Structures of Drug Metabolites. Journal of chemical information and modeling 60 (10) (2020)