Seguir
Jiangyan Feng
Jiangyan Feng
Senior Advisor at Eli Lilly and Company
Dirección de correo verificada de lilly.com
Título
Citado por
Citado por
Año
Enhanced CO2 separation properties by incorporating poly (ethylene glycol)-containing polymeric submicrospheres into polyimide membrane
S Wang, Z Tian, J Feng, H Wu, Y Li, Y Liu, X Li, Q Xin, Z Jiang
Journal of membrane science 473, 310-317, 2015
582015
Structure and Potential‐Dependent Selectivity in Redox‐Metallopolymers: Electrochemically Mediated Multicomponent Metal Separations
R Chen, J Feng, J Jeon, T Sheehan, C Rüttiger, M Gallei, D Shukla, X Su
Advanced Functional Materials 31 (15), 2009307, 2021
412021
How do antiporters exchange substrates across the cell membrane? An atomic-level description of the complete exchange cycle in NarK
J Feng, B Selvam, D Shukla
Structure 29 (8), 922-933. e3, 2021
242021
In-situ NMR measurement of reactivity ratios for copolymerization of methyl methacrylate and diallyl dimethylammonium chloride
J Feng, OO Oyeneye, WZ Xu, PA Charpentier
Industrial & Engineering Chemistry Research 57 (46), 15654-15662, 2018
172018
Computational microscopy: Revealing molecular mechanisms in plants using molecular dynamics simulations
J Feng, J Chen, B Selvam, D Shukla
The Plant Cell 31 (12), 2019
162019
Characterizing conformational dynamics of proteins using evolutionary couplings
J Feng, D Shukla
The Journal of Physical Chemistry B 122 (3), 1017-1025, 2018
132018
Constructing asymmetric membranes via surface segregation for efficient carbon capture
S Wang, J Feng, Y Xie, Z Tian, D Peng, H Wu, Z Jiang
Journal of Membrane Science 500, 25-32, 2016
122016
Fingerprintcontacts: Predicting alternative conformations of proteins from coevolution
J Feng, D Shukla
The Journal of Physical Chemistry B 124 (18), 3605-3615, 2020
102020
Antibody apparent solubility prediction from sequence by transfer learning
J Feng, M Jiang, J Shih, Q Chai
Iscience 25 (10), 2022
92022
Thirty years of molecular dynamics simulations on posttranslational modifications of proteins
AT Weigle, J Feng, D Shukla
Physical Chemistry Chemical Physics 24 (43), 26371-26397, 2022
72022
Automatic Feature Selection in Markov State Models Using Genetic Algorithm
Q Chen, J Feng, S Mittal, D Shukla
Journal of Computational Science Education 9 (2), 14-22, 2018
62018
Electrosorption: Structure and Potential‐Dependent Selectivity in Redox‐Metallopolymers: Electrochemically Mediated Multicomponent Metal Separations (Adv. Funct. Mater. 15/2021).
R Chen, J Feng, J Jeon, T Sheehan, C Rüttiger, M Gallei, D Shukla, X Su
Advanced Functional Materials 31 (15), 2021
22021
solPredict: Antibody apparent solubility prediction from sequence by transfer learning
J Feng, M Jiang, J Shih, Q Chai
bioRxiv, 2021.12. 07.471655, 2021
12021
Atomistic Insights Into The Mechanism of Dual Affinity Switching In Plant Nitrate Transporter NRT1. 1
B Selvam, J Feng, D Shukla
bioRxiv, 2022.10. 17.512638, 2022
2022
Computational Approaches for Understanding Nitrogen Use Efficiency in Plants
J Feng, B Selvam, D Shukla
2020 Virtual AIChE Annual Meeting, 2020
2020
How Can Machine Learning Accelerate the Sampling and Interpretation of Molecular Dynamics Simulations?
J Feng, B Selvam, D Shukla
2020 Virtual AIChE Annual Meeting, 2020
2020
Reinforcement Learning of Protein Conformational Ensemble
J Feng, D Shukla
Biophysical Journal 116 (3), 184a, 2019
2019
Computational Microscopy: Revealing Molecular Mechanisms in Plants Using Molecular Dynamics Simulations-Teaching Guide
J Feng, J Chen, B Selvam, D Shukla
1-Preparing and Running a Simulation: A QwikMD Walkthrough
J Feng, J Chen, B Selvam, D Shukla
0-Installing VMD and NAMD
J Feng, J Chen, B Selvam, D Shukla
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20