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Na Le Dang

Showing results (1-10 of 17) with videos related to

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ACS Central Science|February 3, 2018
Learning a Local-Variable Model of Aromatic and Conjugated SystemsMatthew K Matlock, Na Le Dang, S Joshua Swamidass
Biomolecules|July 27, 2022
High Energy Channeling and Malleable Transition States: Molecular Dynamics Simulations and Free Energy Landscapes for the Thermal Unfolding of Protein U1A and 13 MutantsNa Le Dang, Anne M Baranger, David L Beveridge
Bioinformatics (Oxford, England)|June 22, 2016
A simple model predicts UGT-mediated metabolismNa Le Dang, Tyler B Hughes, Varun Krishnamurthy, et al.
Chemical Research in Toxicology|January 26, 2021
Modeling the Bioactivation and Subsequent Reactivity of DrugsTyler B Hughes, Noah Flynn, Na Le Dang, et al.
Chemical Research in Toxicology|January 23, 2018
Computationally Assessing the Bioactivation of Drugs by N-DealkylationNa Le Dang, Tyler B Hughes, Grover P Miller, et al.
Chemical Research in Toxicology|March 4, 2017
Computational Approach to Structural Alerts: Furans, Phenols, Nitroaromatics, and ThiophenesNa Le Dang, Tyler B Hughes, Grover P Miller, et al.
Journal of Chemical Information and Modeling|February 11, 2020
The Metabolic Rainbow: Deep Learning Phase I Metabolism in Five ColorsNa Le Dang, Matthew K Matlock, Tyler B Hughes, et al.
ACS Central Science|September 10, 2016
Modeling Reactivity to Biological Macromolecules with a Deep Multitask NetworkTyler B Hughes, Na Le Dang, Grover P Miller, et al.
Journal of Chemical Information and Modeling|June 12, 2020
XenoNet: Inference and Likelihood of Intermediate Metabolite FormationNoah R Flynn, Na Le Dang, Michael D Ward, et al.
Journal of Chemical Information and Modeling|September 4, 2020
Metabolic Forest: Predicting the Diverse Structures of Drug MetabolitesTyler B Hughes, Na Le Dang, Ayush Kumar, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
ACS Central Science|February 3, 2018
Learning a Local-Variable Model of Aromatic and Conjugated SystemsMatthew K Matlock, Na Le Dang, S Joshua Swamidass
Biomolecules|July 27, 2022
High Energy Channeling and Malleable Transition States: Molecular Dynamics Simulations and Free Energy Landscapes for the Thermal Unfolding of Protein U1A and 13 MutantsNa Le Dang, Anne M Baranger, David L Beveridge
Bioinformatics (Oxford, England)|June 22, 2016
A simple model predicts UGT-mediated metabolismNa Le Dang, Tyler B Hughes, Varun Krishnamurthy, et al.
Chemical Research in Toxicology|January 26, 2021
Modeling the Bioactivation and Subsequent Reactivity of DrugsTyler B Hughes, Noah Flynn, Na Le Dang, et al.
Chemical Research in Toxicology|January 23, 2018
Computationally Assessing the Bioactivation of Drugs by N-DealkylationNa Le Dang, Tyler B Hughes, Grover P Miller, et al.
Chemical Research in Toxicology|March 4, 2017
Computational Approach to Structural Alerts: Furans, Phenols, Nitroaromatics, and ThiophenesNa Le Dang, Tyler B Hughes, Grover P Miller, et al.
Journal of Chemical Information and Modeling|February 11, 2020
The Metabolic Rainbow: Deep Learning Phase I Metabolism in Five ColorsNa Le Dang, Matthew K Matlock, Tyler B Hughes, et al.
ACS Central Science|September 10, 2016
Modeling Reactivity to Biological Macromolecules with a Deep Multitask NetworkTyler B Hughes, Na Le Dang, Grover P Miller, et al.
Journal of Chemical Information and Modeling|June 12, 2020
XenoNet: Inference and Likelihood of Intermediate Metabolite FormationNoah R Flynn, Na Le Dang, Michael D Ward, et al.
Journal of Chemical Information and Modeling|September 4, 2020
Metabolic Forest: Predicting the Diverse Structures of Drug MetabolitesTyler B Hughes, Na Le Dang, Ayush Kumar, et al.
Pageof 2