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Kirill Shmilovich
Kirill Shmilovich
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Discovery of self-assembling π-conjugated peptides by active learning-directed coarse-grained molecular simulation
K Shmilovich, RA Mansbach, H Sidky, OE Dunne, SS Panda, JD Tovar, ...
The Journal of Physical Chemistry B 124 (19), 3873-3891, 2020
832020
Study of biomechanical properties of protein-based hydrogels using force-clamp rheometry
LR Khoury, J Nowitzke, K Shmilovich, I Popa
Macromolecules 51 (4), 1441-1452, 2018
352018
Modeling protein-based hydrogels under force
K Shmilovich, I Popa
Physical review letters 121 (16), 168101, 2018
292018
Controlling supramolecular chirality in peptide− π-peptide networks by variation of the alkyl spacer length
SS Panda, K Shmilovich, AL Ferguson, JD Tovar
Langmuir 35 (43), 14060-14073, 2019
262019
Data-driven discovery of cardiolipin-selective small molecules by computational active learning
B Mohr, K Shmilovich, IS Kleinwächter, D Schneider, AL Ferguson, ...
Chemical Science 13 (16), 4498-4511, 2022
202022
Force-clamp rheometry for characterizing protein-based hydrogels
LR Khoury, J Nowitzke, N Dahal, K Shmilovich, A Eis, I Popa
JoVE (Journal of Visualized Experiments), e58280, 2018
112018
Computationally Guided Tuning of Peptide-Conjugated Perylene Diimide Self-Assembly
SS Panda, K Shmilovich, NSM Herringer, N Marin, AL Ferguson, JD Tovar
Langmuir 37 (28), 8594-8606, 2021
102021
Hybrid computational–experimental data-driven design of self-assembling π-conjugated peptides
K Shmilovich, SS Panda, A Stouffer, JD Tovar, AL Ferguson
Digital Discovery 1 (4), 448-462, 2022
92022
Girsanov Reweighting Enhanced Sampling Technique (GREST): On-the-fly data-driven discovery of and enhanced sampling in slow collective variables
K Shmilovich, AL Ferguson
The Journal of Physical Chemistry A 127 (15), 3497-3517, 2023
82023
Temporally coherent backmapping of molecular trajectories from coarse-grained to atomistic resolution
K Shmilovich, M Stieffenhofer, NE Charron, M Hoffmann
The Journal of Physical Chemistry A 126 (48), 9124-9139, 2022
82022
Computational discovery of high charge mobility self-assembling π-conjugated peptides
K Shmilovich, Y Yao, JD Tovar, HE Katz, A Schleife, AL Ferguson
Molecular Systems Design & Engineering 7 (5), 447-459, 2022
82022
Computationally Guided Tuning of Amino Acid Configuration Influences the Chiroptical Properties of Supramolecular Peptide-π-Peptide Nanostructures
SS Panda, K Shmilovich, AL Ferguson, JD Tovar
Langmuir 36 (24), 6782-6792, 2020
82020
DEL-Dock: Molecular Docking-Enabled Modeling of DNA-Encoded Libraries
K Shmilovich, B Chen, T Karaletsos, MM Sultan
Journal of Chemical Information and Modeling 63 (9), 2719-2727, 2023
52023
Effect of core oligomer length on the phase behavior and assembly of π-conjugated peptides
ER Jira, K Shmilovich, TS Kale, A Ferguson, JD Tovar, CM Schroeder
ACS applied materials & interfaces 12 (18), 20722-20732, 2020
52020
DiAMoNDBack: Diffusion-Denoising Autoregressive Model for Non-Deterministic Backmapping of Cα Protein Traces
MS Jones, K Shmilovich, AL Ferguson
Journal of Chemical Theory and Computation 19 (21), 7908-7923, 2023
42023
Data-Driven Approaches for Molecular Design and Simulation: From Self-Assembling Peptides to Enhanced Sampling Techniques and Atomistic Structure Generation
K Shmilovich
The University of Chicago, 2023
12023
Orbital Mixer: Using atomic orbital features for basis-dependent prediction of molecular wavefunctions
K Shmilovich, D Willmott, I Batalov, M Kornbluth, J Mailoa, JZ Kolter
Journal of Chemical Theory and Computation 18 (10), 6021-6030, 2022
12022
Orbital mixer machine learning method for predicting an electronic structure of an atomic system
K Shmilovich, I Batalov, J Kolter, M Kornbluth, J Mailoa, D Willmott
US Patent App. 17/737,733, 2023
2023
Multi-Fidelity Computational-Experimental Design of Self-Assembling π-Conjugated Peptides
K Shmilovich, SS Panda, A Stouffer, JD Tovar, A Ferguson
2022 AIChE Annual Meeting, 2022
2022
Rational discovery of cardiolipin-selective small molecules by coarse-grained high-throughput simulations
B Mohr, K Shmilovich, I Kleinwächter, D Schneider, A Ferguson, T Bereau
APS March Meeting Abstracts 2022, Z06. 010, 2022
2022
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