M
Myong In Oh
Researcher at University Health Network
Publications - 7
Citations - 65
Myong In Oh is an academic researcher from University Health Network. The author has contributed to research in topics: Charge density & Molecular dynamics. The author has an hindex of 4, co-authored 7 publications receiving 36 citations.
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Journal ArticleDOI
Small molecule therapeutics for COVID-19: repurposing of inhaled furosemide
Zhiyu Wang,Zhiyu Wang,Yanfei Wang,Prachi Vilekar,Seung Pil Yang,Mayuri Gupta,Myong In Oh,Autumn Meek,Lisa M. Doyle,Laura Villar,Anja Brennecke,Imindu Liyanage,Imindu Liyanage,Mark A. Reed,Mark A. Reed,Christopher J. Barden,Donald F. Weaver,Donald F. Weaver +17 more
TL;DR: Furosemide is a reasonably potent inhibitor of IL-6 and TNF-α that is also safe, inexpensive and well-studied and suggests that it may be a candidate for repurposing as an inhaled therapy against COVID-19.
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Understanding the effect of nanoconfinement on the structure of water hydrogen bond networks.
TL;DR: An information flow model is developed to evaluate the fluctuating nature of hydrogen bond networks and to characterise the dynamic, long-distance hydrogen-bonded chains in water and it is found that the length and directionality of the hydrogen bond "trails" are highly susceptible to the type of confining surfaces and the degree of confinement.
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Understanding Water Structure in an Ion-Pair Solvation Shell in the Vicinity of a Water/Membrane Interface.
TL;DR: This study reveals that the effect of the aqueous interface on the first solvation shell of the ion pair and thus on the ion pairing thermodynamics becomes more pronounced in the polarizable model, and that the free energy profile along the interionic distance cannot capture the difference in the degree of solvent participation in ion pairing at the water/membrane interface.
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Effect of Cholesterol on the Structure of Networked Water at the Surface of a Model Lipid Membrane.
TL;DR: Cholesterol provides a more bulk-like environment for the interfacial water molecules, as evidenced by enhancement of local water density, a reduction in their orientational bias, and increases in both the number of hydrogen bonds and the topological complexity of the hydrogen bond network.
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Decoding Interfacial Water Orientation to Predict Surface Charge Density on a Model Sheet Using a Deep Learning Algorithm
TL;DR: In this paper, the anomalous behavior of water at the aqueous interface of a surface has been thoroughly investigated over the past decades, and indirect surface characterization based on the properties of i...