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Biorxiv : the Preprint Server for Biology
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April 10, 2023
Deep Boosted Molecular Dynamics (DBMD): Accelerating molecular simulations with Gaussian boost potentials generated using probabilistic Bayesian deep neural network
Hung 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 Network
Hung N Do, Yinglong Miao
Frontiers in Molecular Biosciences
|
May 14, 2021
Pathways and Mechanism of Caffeine Binding to Human Adenosine A<sub>2A</sub> Receptor
Hung N Do, Sana Akhter, Yinglong Miao
Biorxiv : the Preprint Server for Biology
|
January 30, 2023
Deep Learning Dynamic Allostery of G-Protein-Coupled Receptors
Hung N Do, Jinan Wang, Yinglong Miao
Scientific Reports
|
June 12, 2026
Challenges of conventional iterative all-atom and coarse-grained multiscale molecular dynamics
Hung N Do, Joe McKenzie, S Gnanakaran
JACS Au
|
November 30, 2023
Deep Learning Dynamic Allostery of G-Protein-Coupled Receptors
Hung N Do, Jinan Wang, Yinglong Miao
Journal of Chemical Theory and Computation
|
March 29, 2023
Predicting Biomolecular Binding Kinetics: A Review
Jinan 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 Profiling
Hung N Do, Jinan Wang, Apurba Bhattarai, et al.
Biophysical Journal
|
February 28, 2025
Diverse toxins exhibit a common binding mode to the nicotinic acetylcholine receptors
Hung 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 Simulations
Jinan Wang, Kushal Koirala, Hung N Do, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 22) with videos related to
Sort By:
Page
of 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 network
Hung 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 Network
Hung N Do, Yinglong Miao
Frontiers in Molecular Biosciences
|
May 14, 2021
Pathways and Mechanism of Caffeine Binding to Human Adenosine A<sub>2A</sub> Receptor
Hung N Do, Sana Akhter, Yinglong Miao
Biorxiv : the Preprint Server for Biology
|
January 30, 2023
Deep Learning Dynamic Allostery of G-Protein-Coupled Receptors
Hung N Do, Jinan Wang, Yinglong Miao
Scientific Reports
|
June 12, 2026
Challenges of conventional iterative all-atom and coarse-grained multiscale molecular dynamics
Hung N Do, Joe McKenzie, S Gnanakaran
JACS Au
|
November 30, 2023
Deep Learning Dynamic Allostery of G-Protein-Coupled Receptors
Hung N Do, Jinan Wang, Yinglong Miao
Journal of Chemical Theory and Computation
|
March 29, 2023
Predicting Biomolecular Binding Kinetics: A Review
Jinan 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 Profiling
Hung N Do, Jinan Wang, Apurba Bhattarai, et al.
Biophysical Journal
|
February 28, 2025
Diverse toxins exhibit a common binding mode to the nicotinic acetylcholine receptors
Hung 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 Simulations
Jinan Wang, Kushal Koirala, Hung N Do, et al.
Page
of 3