Hung Do

Postdoc, Los Alamos National Laboratory; PhD in Computational Biology, Bachelor of Science in Chemistry, University of Kansas Honors Program

[JACS Au @JACS_Au]

Deep Learning of extensive Gaussian accelerated MD simulations revealed dynamic “Conformational Selection” mechanism for GPCR allostery, facilitating rational allosteric drug design of GPCRs.

Learn more 👉 https://t.co/f4S3NP0qLM

@hungd238 @jinan_wang @yinglongmiao @lab_miao

[Nathan Poongavanam @ivasanthaNathan]

#moleculardynamics (MD), #CADD, #quantummechanics (QM), #artificialintelligence, #ChemicalSpace, Knowledge Bases, #Freeenergy, #AI, #insilico #ADMET, #Molecularglues, and Computing Technologies such as #cloudcomputing and #quantumcomputing in one book

[Ash Jogalekar @curiouswavefn]

Don't know who came up with this meme but it's great. Happy to credit the creator if they chime in here.

[Yinglong Miao @yinglongmiao]

Looking for two highly motivated postdocs to work on accelerated molecular simulations and AI-driven drug discovery. Please feel free to submit application to one of the following postings & retweet:
https://t.co/Icq0INjyIg
https://t.co/ceHpMLISVb

[Yinglong Miao @yinglongmiao]

Greatly appreciated if you can please vote for our story - “Best Use of HPC in Life Sciences” :)

https://t.co/F450B2lXDS

University of Kansas researchers who study Familial Alzheimer’s Disease (FAD) ...

[Yinglong Miao @yinglongmiao]

@lab_miao: Extremely excited for moving to @CompMedUNC and @UNC_PHCO. We are "UP" to explore the beautiful new place and wonderful research opportunities here!

[Yinglong Miao @yinglongmiao]

Congratulations @jinan_wang and @hungd238 in @lab_miao for a nice publication ! Thanks to Xin-Yun Huang lab @WeillCornell for the wonderful collaboration !

https://t.co/LQbRmzVNjJ

https://t.co/Hy39BrGpuw

[Yinglong Miao @yinglongmiao]

Belated Congrats to @hungd238 for a very promising method @DeepLearningAI +Enhanced Sampling!

Deep Boosted Molecular Dynamics: Accelerating Molecular Simulations with Gaussian Boost Potentials Generated Using Probabilistic Bayesian Deep Neural Network https://t.co/tWfSZpAOLh

[The Journal of Physical Chemistry @JPhysChem]

.@hungd238 & @yinglongmiao developed a new Deep Boosted Molecular Dynamics (DBMD) method using probabilistic Bayesian neural network to generate Gaussian boost potentials. DBMD efficiently captured folding & unfolding of proteins & RNAs!
https://t.co/I1HEOnZ7vh

[Joanna Slusky 🫖 @SluskyLab]

When people tell me, it’s the paper that maters, not the journal, I wish that were true for me!Unfortunately, a lot of scientists (and many whose work I admire) are influenced by status. I work at a not particularly high-status university and

[Yinglong Miao @yinglongmiao]

Congratulations @hungd238 Dr. DO for very impressive PhD defense, with 7 first-authored publications and more! A great balance between method developments and advanced application studies 🎇🎇🎇

[Yinglong Miao @yinglongmiao]

Congrats @jinan_wang @ApurbaBhattara4 for an excellent muscarinic GPCR study, beautiful agreement between simulations & experiments! Thanks to @Thal_DM, Celine Valant, Prof. Arthur Christopoulos and the entire research team for wonderful collaboration!!

https://t.co/RTT3ZDooNF

[MiaoLab @lab_miao]

Congratulations to Anjani Vilandai for winning an Outstanding Presentation Award in the 2023 Undergraduate Research Symposium🎇🎇🎇

[MiaoLab @lab_miao]

Thanks to ACCESS for highlighting our collaborative work between @lab_miao and @lab_wolfe !

Computational Biology Studies Move Researchers Closer to Treating Rare Form of Alzheimer’s Disease https://t.co/7aqOxu2qn6

[MiaoLab @lab_miao]

Excited to share our "Predicting Biomolecular Binding Kinetics: A Review" is highlighted on @JCIM_JCTC front cover! @ACS4Authors #MyACSCover @jinan_wang @hungd238 Kushal, @yinglongmiao

Journal of Chemical Theory and Computation https://t.co/Htrdob5Mj6

[Ariane Nunes Alves @anunesalves]

Cool things in binding kinetics this week! #compchem
The review from @yinglongmiao @JCIM_JCTC about prediction of binding kinetics, with a very useful table with different databases containing kinetic rates:
https://t.co/9x8FQJydNz

[Yinglong Miao @yinglongmiao]

First time attending #ADPD2023 conference in beautiful @goteborgcom, and very excited to present our recent work on effects of FAD mutations in gamma-secretase, mainly done by @hungd238 in great collaboration with @lab_wolfe !

[Communications Biology @CommsBio]

A #BehindthePaper post from @hungd238 & @yinglongmiao explores their recent publication on how Presenilin-1 familial #Alzheimers disease mutations affect the structural dynamics & interactions between γ-secretase and APP 🧬🧠

https://t.co/9ttywQKGyG

[Yinglong Miao @yinglongmiao]

Effects of presenilin-1 familial Alzheimer’s disease mutations on γ-secretase activation for cleavage of amyloid precursor protein https://t.co/7CF43FAUZG #NeuroscienceCommunity

[Yinglong Miao @yinglongmiao]

Congratulations to @hungd238 and Sujan for a co-first authored paper! Great collaboration with @lab_wolfe !