Yaoyukun Jiang, Ph.D.
Affiliations: | 2021- | Chemistry | Vanderbilt University, Nashville, TN |
Area:
Computational Chemistry; Enzymology; SpectroscopyGoogle:
"Yaoyukun Jiang"Mean distance: (not calculated yet)
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Long T, Li D, Vale G, et al. (2024) Molecular insights into human phosphatidylserine synthase 1 reveal its inhibition promotes LDL uptake. Cell |
Jiang Y, Ding N, Shao Q, et al. (2023) Substrate Positioning Dynamics Involves a Non-Electrostatic Component to Mediate Catalysis. The Journal of Physical Chemistry Letters. 14: 11480-11489 |
Ran X, Jiang Y, Shao Q, et al. (2023) EnzyKR: a chirality-aware deep learning model for predicting the outcomes of the hydrolase-catalyzed kinetic resolution. Chemical Science. 14: 12073-12082 |
Yang ZJ, Shao Q, Jiang Y, et al. (2023) Mutexa: A Computational Ecosystem for Intelligent Protein Engineering. Journal of Chemical Theory and Computation |
Shao Q, Jiang Y, Yang ZJ. (2023) EnzyHTP Computational Directed Evolution with Adaptive Resource Allocation. Journal of Chemical Information and Modeling |
Juarez RJ, Jiang Y, Tremblay M, et al. (2023) LassoHTP: A High-Throughput Computational Tool for Lasso Peptide Structure Construction and Modeling. Journal of Chemical Information and Modeling. 63: 522-530 |
Jiang Y, Stull SL, Shao Q, et al. (2022) Convergence in determining enzyme functional descriptors across Kemp eliminase variants. Electronic Structure (Bristol, England). 4 |
Jiang Y, Ran X, Yang ZJ. (2022) Data-Driven Enzyme Engineering to Identify Function-Enhancing Enzymes. Protein Engineering, Design & Selection : Peds |
Jiang Y, Yan B, Chen Y, et al. (2022) Molecular Dynamics-Derived Descriptor Informs the Impact of Mutation on the Catalytic Turnover Number in Lactonase Across Substrates. The Journal of Physical Chemistry. B. 126: 2486-2495 |
Shao Q, Jiang Y, Yang ZJ. (2022) EnzyHTP: A High-Throughput Computational Platform for Enzyme Modeling. Journal of Chemical Information and Modeling. 62: 647-655 |