Publications : Methods

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FingerprintContacts: Predicting Alternative Conformations of Proteins from Coevolution

The Journal of Physical Chemistry B, 124(18): 3605-3615, 2020
Jiangyan Feng and Diwakar Shukla
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Maximizing Kinetic Information Gain of Markov State Models for Optimal Design of Spectroscopy Experiments

The Journal of Physical Chemistry B, 122(48): 10793-10805, 2018
Shriyaa Mittal and Diwakar Shukla
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Recruiting machine learning methods for molecular simulations of proteins

Molecular Simulation, 44(11): 891-904, 2018
Shriyaa Mittal and Diwakar Shukla
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Reinforcement Learning Based Adaptive Sampling: REAPing Rewards by Exploring Protein Conformational Landscapes

The Journal of Physical Chemistry B, 122(35): 8386-8395, 2018
Zahra Shamsi and Kevin J. Cheng and Diwakar Shukla
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Characterizing Conformational Dynamics of Proteins Using Evolutionary Couplings

The Journal of Physical Chemistry B, 122(3): 1017-1025, 2018
Jiangyan Feng and Diwakar Shukla
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Automatic Feature Selection in Markov State Models Using Genetic Algorithm

Journal of Computational Science Education, 9(2): 14-22, 2018
Chen, Qihua and Feng, Jiangyan and Mittal, Shriyaa and Shukla, Diwakar
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SAXS-guided Enhanced Unbiased Sampling for Structure Determination of Proteins and Complexes

Scientific Reports, 8(1), 2018
Chuankai Zhao and Diwakar Shukla
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Enhanced unbiased sampling of protein dynamics using evolutionary coupling information

Scientific Reports, 7(1), 2017
Zahra Shamsi and Alexander S. Moffett and Diwakar Shukla
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Predicting Optimal DEER Label Positions to Study Protein Conformational Heterogeneity

The Journal of Physical Chemistry B, 121(42): 9761-9770, 2017
Shriyaa Mittal and Diwakar Shukla
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Application of hidden Markov models in biomolecular simulations

Hidden Markov Models, Springer: 29-41, 2017
Shukla, Saurabh and Shamsi, Zahra and Moffett, Alexander S and Selvam, Balaji and Shukla, Diwakar
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