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Journal of Chemical Theory and Computation
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August 31, 2022
Multiagent Reinforcement Learning-Based Adaptive Sampling for Conformational Dynamics of Proteins
Diego E Kleiman, Diwakar Shukla
Journal of Chemical Theory and Computation
|
April 7, 2023
Active Learning of the Conformational Ensemble of Proteins Using Maximum Entropy VAMPNets
Diego E Kleiman, Diwakar Shukla
The Journal of Physical Chemistry. B
|
December 11, 2023
Adaptive Sampling Methods for Molecular Dynamics in the Era of Machine Learning
Diego E Kleiman, Hassan Nadeem, Diwakar Shukla
The Journal of Biological Chemistry
|
November 10, 2023
Resolving binding pathways and solvation thermodynamics of plant hormone receptors
Chuankai Zhao, Diego E Kleiman, Diwakar Shukla
Biorxiv : the Preprint Server for Biology
|
September 2, 2025
ESMDynamic: Fast and Accurate Prediction of Protein Dynamic Contact Maps from Single Sequences
Diego E Kleiman, Jiangyan Feng, Zhengyuan Xue, et al.
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of 1
Search research articles
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Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
Journal of Chemical Theory and Computation
|
August 31, 2022
Multiagent Reinforcement Learning-Based Adaptive Sampling for Conformational Dynamics of Proteins
Diego E Kleiman, Diwakar Shukla
Journal of Chemical Theory and Computation
|
April 7, 2023
Active Learning of the Conformational Ensemble of Proteins Using Maximum Entropy VAMPNets
Diego E Kleiman, Diwakar Shukla
The Journal of Physical Chemistry. B
|
December 11, 2023
Adaptive Sampling Methods for Molecular Dynamics in the Era of Machine Learning
Diego E Kleiman, Hassan Nadeem, Diwakar Shukla
The Journal of Biological Chemistry
|
November 10, 2023
Resolving binding pathways and solvation thermodynamics of plant hormone receptors
Chuankai Zhao, Diego E Kleiman, Diwakar Shukla
Biorxiv : the Preprint Server for Biology
|
September 2, 2025
ESMDynamic: Fast and Accurate Prediction of Protein Dynamic Contact Maps from Single Sequences
Diego E Kleiman, Jiangyan Feng, Zhengyuan Xue, et al.
Page
of 1