Hye-Won Kang
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Explore the profile of Hye-Won Kang including associated specialties, affiliations and a list of published articles.
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Articles
28
Citations
197
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Recent Articles
1.
Kang H, Nguyen L, An S, Kyoung M
Sci Rep
. 2024 Oct;
14(1):23423.
PMID: 39379426
No abstract available.
2.
Kang H, Nguyen L, An S, Kyoung M
Sci Rep
. 2024 Aug;
14(1):19011.
PMID: 39152221
Human liver-type phosphofructokinase 1 (PFKL) has been shown to regulate glucose flux as a scaffolder arranging glycolytic and gluconeogenic enzymes into a multienzyme metabolic condensate, the glucosome. However, it has...
3.
Erban R, Kang H
Bull Math Biol
. 2023 Jul;
85(8):76.
PMID: 37402077
The dynamics of a chemical reaction network (CRN) is often modeled under the assumption of mass action kinetics by a system of ordinary differential equations (ODEs) with polynomial right-hand sides...
4.
Ahn G, Choi I, Ryu T, Ryu Y, Oh D, Kang H, et al.
Colloids Surf B Biointerfaces
. 2023 Feb;
224:113212.
PMID: 36822116
Polydimethylsiloxane (PDMS) microfluidic devices with chaotic microfibrous channels were fabricated for the continuous production of lipid nanoparticles (LNPs). Electrospun poly(ε-caprolactone) (PCL) microfibrous matrices with different diameters (3.6 ± 0.3, 6.3 ...
5.
Ahn G, Choi I, Song M, Han S, Choi K, Ryu Y, et al.
ACS Macro Lett
. 2022 May;
11(1):127-134.
PMID: 35574793
A polydimethylsiloxane (PDMS) microfluidic chip with well-interconnected microfibrous channels was fabricated by using an electrospun poly(ε-caprolactone) (PCL) microfibrous matrix and 3D-printed pattern as templates. The microfiber-templated microfluidic chip (MTMC) was...
6.
Kim Y, Kang H, Kim S, Park K
Sci Rep
. 2021 Aug;
11(1):16369.
PMID: 34385531
The current study explored whether (i) abdominal muscle thickness differed between non-painful supine and painful sitting positions and (ii) the sitting position was more reliable and useful than the supine...
7.
KhudaBukhsh W, Kang H, Kenah E, Rempala G
Phys Biol
. 2020 Oct;
18(1):015002.
PMID: 33075757
In many biological systems, chemical reactions or changes in a physical state are assumed to occur instantaneously. For describing the dynamics of those systems, Markov models that require exponentially distributed...
8.
Kang H, Erban R
Bull Math Biol
. 2019 Jun;
81(8):3185-3213.
PMID: 31165406
Two multiscale algorithms for stochastic simulations of reaction-diffusion processes are analysed. They are applicable to systems which include regions with significantly different concentrations of molecules. In both methods, a domain...
9.
Kang H, KhudaBukhsh W, Koeppl H, Rempala G
Bull Math Biol
. 2019 Feb;
81(5):1303-1336.
PMID: 30756234
The paper outlines a general approach to deriving quasi-steady-state approximations (QSSAs) of the stochastic reaction networks describing the Michaelis-Menten enzyme kinetics. In particular, it explains how different sets of assumptions...
10.
Comparison of Deterministic and Stochastic Regime in a Model for Cdc42 Oscillations in Fission Yeast
Xu B, Kang H, Jilkine A
Bull Math Biol
. 2019 Feb;
81(5):1268-1302.
PMID: 30756233
Oscillations occur in a wide variety of essential cellular processes, such as cell cycle progression, circadian clocks and calcium signaling in response to stimuli. It remains unclear how intrinsic stochasticity...