Прати
Dedi Wang
Dedi Wang
Верификована је имејл адреса на gene.com - Почетна страница
Наслов
Навело
Навело
Година
State predictive information bottleneck
D Wang, P Tiwary
The Journal of Chemical Physics 154 (13), 2021
912021
Alphafold2-rave: From sequence to boltzmann ranking
BP Vani, A Aranganathan, D Wang, P Tiwary
Journal of chemical theory and computation 19 (14), 4351-4354, 2023
732023
Accelerating all-atom simulations and gaining mechanistic understanding of biophysical systems through state predictive information bottleneck
S Mehdi, D Wang, S Pant, P Tiwary
Journal of chemical theory and computation 18 (5), 3231-3238, 2022
512022
Influence of long-range forces on the transition states and dynamics of NaCl ion-pair dissociation in water
D Wang, R Zhao, JD Weeks, P Tiwary
The Journal of Physical Chemistry B 126 (2), 545-551, 2022
162022
From latent dynamics to meaningful representations
D Wang, Y Wang, L Evans, P Tiwary
Journal of Chemical Theory and Computation 20 (9), 3503-3513, 2024
13*2024
Information bottleneck approach for Markov model construction
D Wang, Y Qiu, ER Beyerle, X Huang, P Tiwary
Journal of chemical theory and computation 20 (12), 5352-5367, 2024
122024
Calculating Protein–Ligand Residence Times through State Predictive Information Bottleneck Based Enhanced Sampling
S Lee, D Wang, MA Seeliger, P Tiwary
Journal of Chemical Theory and Computation 20 (14), 6341-6349, 2024
9*2024
Critical slowing down and attractive manifold: A mechanism for dynamic robustness in the yeast cell-cycle process
Y Zhao, D Wang, Z Zhang, Y Lu, X Yang, Q Ouyang, C Tang, F Li
Physical Review E 101 (4), 042405, 2020
72020
Modeling Boltzmann weighted structural ensembles of proteins using AI based methods
A Aranganathan, X Gu, D Wang, B Vani, P Tiwary
42025
A graph neural network-state predictive information bottleneck (GNN-SPIB) approach for learning molecular thermodynamics and kinetics
Z Zou, D Wang, P Tiwary
Digital Discovery 4 (1), 211-221, 2025
22025
Augmenting Human Expertise in Weighted Ensemble Simulations through Deep Learning based Information Bottleneck
D Wang, P Tiwary
arXiv preprint arXiv:2406.14839, 2024
22024
Modeling Boltzmann-weighted structural ensembles of proteins using artificial intelligence–based methods
A Aranganathan, X Gu, D Wang, BP Vani, P Tiwary
Current Opinion in Structural Biology 91, 103000, 2025
2025
Analyzing and enhancing protein dynamics with artificial intelligence
D Wang, P Tiwary
Biophysical Journal 123 (3), 429a, 2024
2024
Analyzing and Enhancing Molecular Dynamics Through the Synergy of Physics and Artificial Intelligence
D Wang
University of Maryland, College Park, 2024
2024
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