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Hung N Do

Showing results (1-10 of 22) with videos related to

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Biorxiv : the Preprint Server for Biology|April 10, 2023
Deep Boosted Molecular Dynamics (DBMD): Accelerating molecular simulations with Gaussian boost potentials generated using probabilistic Bayesian deep neural networkHung N Do, Yinglong Miao
The Journal of Physical Chemistry Letters|May 23, 2023
Deep Boosted Molecular Dynamics: Accelerating Molecular Simulations with Gaussian Boost Potentials Generated Using Probabilistic Bayesian Deep Neural NetworkHung N Do, Yinglong Miao
Frontiers in Molecular Biosciences|May 14, 2021
Pathways and Mechanism of Caffeine Binding to Human Adenosine A<sub>2A</sub> ReceptorHung N Do, Sana Akhter, Yinglong Miao
Biorxiv : the Preprint Server for Biology|January 30, 2023
Deep Learning Dynamic Allostery of G-Protein-Coupled ReceptorsHung N Do, Jinan Wang, Yinglong Miao
Scientific Reports|June 12, 2026
Challenges of conventional iterative all-atom and coarse-grained multiscale molecular dynamicsHung N Do, Joe McKenzie, S Gnanakaran
JACS Au|November 30, 2023
Deep Learning Dynamic Allostery of G-Protein-Coupled ReceptorsHung N Do, Jinan Wang, Yinglong Miao
Journal of Chemical Theory and Computation|March 29, 2023
Predicting Biomolecular Binding Kinetics: A ReviewJinan Wang, Hung N Do, Kushal Koirala, et al.
Journal of Chemical Theory and Computation|February 24, 2022
GLOW: A Workflow Integrating Gaussian-Accelerated Molecular Dynamics and Deep Learning for Free Energy ProfilingHung N Do, Jinan Wang, Apurba Bhattarai, et al.
Biophysical Journal|February 28, 2025
Diverse toxins exhibit a common binding mode to the nicotinic acetylcholine receptorsHung N Do, Jessica Z Kubicek-Sutherland, S Gnanakaran
The Journal of Physical Chemistry. B|July 23, 2024
PepBinding: A Workflow for Predicting Peptide Binding Structures by Combining Peptide Docking and Peptide Gaussian Accelerated Molecular Dynamics SimulationsJinan Wang, Kushal Koirala, Hung N Do, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Biorxiv : the Preprint Server for Biology|April 10, 2023
Deep Boosted Molecular Dynamics (DBMD): Accelerating molecular simulations with Gaussian boost potentials generated using probabilistic Bayesian deep neural networkHung N Do, Yinglong Miao
The Journal of Physical Chemistry Letters|May 23, 2023
Deep Boosted Molecular Dynamics: Accelerating Molecular Simulations with Gaussian Boost Potentials Generated Using Probabilistic Bayesian Deep Neural NetworkHung N Do, Yinglong Miao
Frontiers in Molecular Biosciences|May 14, 2021
Pathways and Mechanism of Caffeine Binding to Human Adenosine A<sub>2A</sub> ReceptorHung N Do, Sana Akhter, Yinglong Miao
Biorxiv : the Preprint Server for Biology|January 30, 2023
Deep Learning Dynamic Allostery of G-Protein-Coupled ReceptorsHung N Do, Jinan Wang, Yinglong Miao
Scientific Reports|June 12, 2026
Challenges of conventional iterative all-atom and coarse-grained multiscale molecular dynamicsHung N Do, Joe McKenzie, S Gnanakaran
JACS Au|November 30, 2023
Deep Learning Dynamic Allostery of G-Protein-Coupled ReceptorsHung N Do, Jinan Wang, Yinglong Miao
Journal of Chemical Theory and Computation|March 29, 2023
Predicting Biomolecular Binding Kinetics: A ReviewJinan Wang, Hung N Do, Kushal Koirala, et al.
Journal of Chemical Theory and Computation|February 24, 2022
GLOW: A Workflow Integrating Gaussian-Accelerated Molecular Dynamics and Deep Learning for Free Energy ProfilingHung N Do, Jinan Wang, Apurba Bhattarai, et al.
Biophysical Journal|February 28, 2025
Diverse toxins exhibit a common binding mode to the nicotinic acetylcholine receptorsHung N Do, Jessica Z Kubicek-Sutherland, S Gnanakaran
The Journal of Physical Chemistry. B|July 23, 2024
PepBinding: A Workflow for Predicting Peptide Binding Structures by Combining Peptide Docking and Peptide Gaussian Accelerated Molecular Dynamics SimulationsJinan Wang, Kushal Koirala, Hung N Do, et al.
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