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Michael Skuhersky
Michael Skuhersky
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Title
Cited by
Cited by
Year
QTY code enables design of detergent-free chemokine receptors that retain ligand-binding activities
S Zhang, F Tao, R Qing, H Tang, M Skuhersky, K Corin, L Tegler, ...
Proceedings of the National Academy of Sciences 115 (37), E8652-E8659, 2018
482018
QTY code designed thermostable and water-soluble chimeric chemokine receptors with tunable ligand affinity
R Qing, Q Han, M Skuhersky, H Chung, M Badr, T Schubert, S Zhang
Proceedings of the National Academy of Sciences 116 (51), 25668-25676, 2019
322019
Discovering nonlinear relations with minimum predictive information regularization
T Wu, T Breuel, M Skuhersky, J Kautz
arXiv preprint arXiv:2001.01885, 2020
292020
Whitepaper on the DAEdALUS program
C Aberle, A Adelmann, J Alonso, WA Barletta, R Barlow, L Bartoszek, ...
arXiv preprint arXiv:1307.2949, 2013
282013
The G protein coupled receptor CXCR4 designed by the QTY code becomes more hydrophilic and retains cell signaling activity
L Tegler, K Corin, H Pick, J Brookes, M Skuhersky, H Vogel, S Zhang
Scientific Reports 10 (1), 21371, 2020
152020
Comparing native crystal structures and AlphaFold2 predicted water-soluble G protein-coupled receptor QTY variants
MA Skuhersky, F Tao, R Qing, E Smorodina, D Jin, S Zhang
Life 11 (12), 1285, 2021
122021
Toward a more accurate 3D atlas of C. elegans neurons
M Skuhersky, T Wu, E Yemini, A Nejatbakhsh, E Boyden, M Tegmark
BMC bioinformatics 23 (1), 195, 2022
52022
Introduction to Parallel Computing
M Skuhersky
Janury, 2005
22005
Toward a More Accurate 3D Atlas of C. elegans Neurons
M Skuhersky, T Wu, E Yemini, E Boyden, M Tegmark
bioRxiv, 2021.06. 09.447813, 2021
12021
Scaling Properties for Artificial Neural Network Models of a Small Nervous System
Q Simeon, L Venāncio, MA Skuhersky, A Nayebi, ES Boyden, GR Yang
bioRxiv, 2024.02. 13.580186, 2024
2024
To reverse engineer an entire nervous system
G Haspel, ES Boyden, J Brown, G Church, N Cohen, C Fang-Yen, ...
arXiv preprint arXiv:2308.06578, 2023
2023
QTY DESIGNED HEAT RESISTANT SOLUBLE TRANSMEMBRANE PROTEINS RECEPTOR WITH TUNABLE LIGAND AFFINITY
R Qing, Q Han, M Badr, H Chung, M Skuhersky, T Schubert, S Zhang
PROTEIN SCIENCE 28, 25-26, 2019
2019
Thermal Stable and Detergent-Free Membrane Receptor Proteins Thru Genetic Modification
R Qing, Q Han, F Tao, M Skuhersky, S Zhang
PROTEIN SCIENCE 27, 16-16, 2018
2018
Simulation and Analysis of Neutron Activation Risk for the IsoDAR High-Intensity Electron Antineutrino Source
M Skuhersky
APS April Meeting Abstracts 2013, Y13. 007, 2013
2013
Nonlinear Causal Discovery with Minimum Predictive Information Regularization
T Wu, T Breuel, M Skuhersky, J Kautz
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