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Shriyaa Mittal
Shriyaa Mittal
Cell Press
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Title
Cited by
Cited by
Year
Free Energy Landscape of the Complete Transport Cycle in a Key Bacterial Transporter
B Selvam, S Mittal, D Shukla
ACS central science 4 (9), 1146-1154, 2018
452018
Recruiting machine learning methods for molecular simulations of proteins
S Mittal, D Shukla
Molecular Simulation 44 (Issue 11), 891-904, 2018
332018
Predicting Optimal DEER Label Positions to Study Protein Conformational Heterogeneity
S Mittal, D Shukla
The Journal of Physical Chemistry B 121 (42), 9761-9770, 2017
222017
RNABP COGEST: a resource for investigating functional RNAs
S Bhattacharya, S Mittal, S Panigrahi, P Sharma, P S.P., R Paul, S Halder, ...
Database 2015, 2015
192015
Structure‐activity relationships in nonenzymatic template‐directed RNA synthesis
C Giurgiu, Z Fang, HRM Aitken, SC Kim, L Pazienza, S Mittal, JW Szostak
Angewandte Chemie, 2021
112021
Experimental Tests of the Virtual Circular Genome Model for Non-enzymatic RNA Replication
D Ding, L Zhou, S Mittal, JW Szostak
Journal of American Chemical Society 145 (13), 7504-7515, 2023
82023
Dodine as a Kosmo-Chaotropic Agent
D Guin, S Mittal, B Bozymski, D Shukla, M Gruebele
The Journal of Physical Chemistry Letters 10 (10), 2600-2605, 2019
72019
Maximizing Kinetic Information Gain of Markov State Models for Optimal Design of Spectroscopy Experiments
S Mittal, D Shukla
The Journal of Physical Chemistry B 122 (48), 10793-10805, 2018
72018
Automatic Feature Selection in Markov State Models Using Genetic Algorithm
Q Chen, J Feng, S Mittal, D Shukla
arXiv preprint arXiv:1806.09723, 2018
62018
FAST principles for preprint feedback
SF Iborra, J Polka, S Monaco, S Ahmad, M Franko, S Mittal, S Hindle, ...
OSF, 2022
32022
Reconciling membrane protein simulations with experimental DEER spectroscopy data
S Mittal, S Dutta, D Shukla
Physical Chemistry Chemical Physics 25 (8), 6253-6262, 2023
22023
Simulations predict preferred Mg2+ coordination in a nonenzymatic primer-extension reaction center
S Mittal, C Nisler, JW Szostak
Biophysical Journal, 2024
1*2024
Simulation Guided Design of Spectroscopy Experiments via Maximizing Kinetic Information Gain
S Mittal, D Shukla
Biophysical Journal 116 (3), 183a-184a, 2019
12019
Computational methods to design biophysical experiments for the study of protein dynamics
S Mittal
University of Illinois at Urbana-Champaign, 2020
2020
Is Dodine a Protein Stabilizer or Destabilizer? It's Complicated!
S Mittal, D Guin, B Bozymski, D Shukla, M Gruebele
Biophysical Journal 118 (3), 199a, 2020
2020
Reconciling Membrane Protein Simulations with Experimental Spectroscopic Data
S Mittal, D Shukla
Biophysical Journal 118 (3), 231a, 2020
2020
Optimal Probes: A Machine Learning Platform for Design of Experimental Probes for Protein Dynamics
D Shukla, S Mittal
Annual Meeting, American Institute of Chemical Engineers, 2017
2017
Optimal Probes: An Efficient Method to Select Deer Distance Restraints using Machine Learning
S Mittal, D Shukla
Biophysical Journal 112 (3), 328a, 2017
2017
Design of Optimal Experimental Probes for Protein Dynamics Using Machine Learning and Variational Approach to Modeling Conformational Kinetics
B Selvam, S Mittal, C Zhao, D Shukla
Annual Meeting, American Institute of Chemical Engineers, 2016
2016
The Structure and Dynamics of Purine Riboswitches
S Mittal
International Institute of Information Technology, Hyderabad, 2016
2016
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Articles 1–20