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Small Molecules that Potentiate Neuroectodermal Differentiation of Mouse Embryonic Stem Cells
Jonghwan Lee,Ki-Jong Rhee,Dongju Jung 대한의생명과학회 2013 Biomedical Science Letters Vol.19 No.1
Pluripotent stem cells (PSCs) have enormous potential in the biomedical sciences because they can grow continuously and differentiate into any kind of cell in the body. However, for future application in regenerative medicine, it is still a challenge to control the differentiation of PSCs without using genetic materials. To control the differentiation of PSCs, small molecules might be the best substitute for genetic materials considering the following advantages: small size, which enables penetration of plasma membrane; easy-to-modify structure; and low chance of genetic recombination in treated cells. Herein, we introduce small molecules that induce the neuroectodermal differentiation of mouse embryonic stem cells (ESCs). The small molecules were identified via ESC-based consecutive screenings of small-molecule libraries composed of 324 natural compounds or 93 selected drugs. The natural compounds discovered in the first screening were used to select 93 structurally similar drugs out of 1,200 approved drugs. In the second screening, among the 93 compounds, we found 4 drugs that induced the neuroectodermal differentiation of ESCs. These drugs were progesteroneor corticoid-derivatives. Our results suggest that small molecules targeting the progesterone receptor or glucocorticoid receptor could be used as chemical tools to induce the differentiation of PSCs into a specific germ lineage.
Optimization of the Distribution Plan and Multi-product Capacity using Genetic Algorithm
Jonghwan Lee,Do-Yeong Wie,Ji-Yong Jeong,Jung-ho Lee,Sang-Jung Kim,Min-Suk Byon,Moon-Soo Kwon,Se-in Jang 한국산업경영시스템학회 2014 한국산업경영시스템학회 학술대회 Vol.2014 No.춘계
Supply Chain Management(SCM) is getting important, because size of the company is getting bigger and the kinds of product are various. In the case of manufacturing corporation, for the optimization of SCM, we have to make production and distribution plan by considering the various fluctuation in the aspect of integration. In this paper, first, It proposed the reasonable operational way of the SCM about when the customer’s demanding is various and demanding expectation fluctuates in capacity standardization of producer stage. Second, the paper proposed the management way for demanding by considering confirmed demanding information, related inventory expense and demanding shortage expense when we make production and distribution plan. The paper applied the genetic algorithm proved for current usefulness. it proposed the optimal operational way for SCM by dividing into 2 ways for dealing with the duration of confirmed demanding information and various fluctuation.
<i>Oscillibacter</i> <i>ruminantium</i> sp. nov., isolated from the rumen of Korean native cattle
Lee, Geun-Hye,Rhee, Moon-Soo,Chang, Dong-Ho,Lee, Jonghwan,Kim, Seil,Yoon, Min Ho,Kim, Byoung-Chan International Union of Microbiological Societies 2013 International journal of systematic and evolutiona Vol.63 No.6
<P>A strictly anaerobic, Gram-negative, non-spore-forming bacterium, designated GH1<SUP>T</SUP>, was isolated from the rumen of Korean native cattle (HanWoo). Cells were straight to slightly curved rods (2.0–4.5 µm long) and were motile by peritrichous flagella. The isolate grew at 30–45 °C (optimum 40 °C), at pH 5.5–6.5 (optimum pH 6.0) and with up to 3.5 % (w/v) NaCl. Strain GH1<SUP>T</SUP> produced acid from <SMALL>d</SMALL>-glucose, <SMALL>d</SMALL>-ribose and <SMALL>d</SMALL>-xylose, with butyric acid being the major end product. The genomic DNA G+C content was 54.6 mol%. Based on comparative 16S rRNA gene sequence analysis, strain GH1<SUP>T</SUP> was most closely related to <I>Oscillibacter valericigenes</I> Sjm18-20<SUP>T</SUP> (97.3 % 16S rRNA gene sequence similarity). DNA–DNA hybridization between strain GH1<SUP>T</SUP> and <I>O. valericigenes</I> DSM 18026<SUP>T</SUP> showed 24 % reassociation. The major fatty acids were iso-C<SUB>13 : 0</SUB> (13.0 %), iso-C<SUB>15 : 0</SUB> (17.6 %), anteiso-C<SUB>15 : 0</SUB> (8.4 %) and C<SUB>14 : 0</SUB> (4.1 %), and the cellular fatty acid methyl esters as dimethylacetals (DMAs) were C<SUB>16 : 0</SUB> DMA (17.8 %), iso-C<SUB>15 : 0</SUB> DMA (15.2 %) and C<SUB>14 : 0</SUB> DMA (4.52 %). The cell-wall peptidoglycan of strain GH1<SUP>T</SUP> contained <I>meso</I>-diaminopimelic acid and the major cell-wall sugar was galactose. Based on 16S rRNA gene sequence similarity, phylogenetic analysis, DNA G+C content, DNA–DNA relatedness and distinct phenotypic characteristics, strain GH1<SUP>T</SUP> is classified in the genus <I>Oscillibacter</I> as a member of a novel species, for which the name <I>Oscillibacter</I> <I>ruminantium</I> sp. nov. is proposed. The type strain is GH1<SUP>T</SUP> ( = KCTC 15176<SUP>T</SUP> = NBRC 108824<SUP>T</SUP> = JCM 18333<SUP>T</SUP>).</P>
Identification of New Potential APE1 Inhibitors by Pharmacophore Modeling and Molecular Docking
Lee, In Won,Yoon, Jonghwan,Lee, Gunhee,Lee, Minho Korea Genome Organization 2017 Genomics & informatics Vol.15 No.4
Apurinic/apyrimidinic endonuclease 1 (APE1) is an enzyme responsible for the initial step in the base excision repair pathway and is known to be a potential drug target for treating cancers, because its expression is associated with resistance to DNA-damaging anticancer agents. Although several inhibitors already have been identified, the identification of novel kinds of potential inhibitors of APE1 could provide a seed for the development of improved anticancer drugs. For this purpose, we first classified known inhibitors of APE1. According to the classification, we constructed two distinct pharmacophore models. We screened more than 3 million lead-like compounds using the pharmacophores. Hits that fulfilled the features of the pharmacophore models were identified. In addition to the pharmacophore screen, we carried out molecular docking to prioritize hits. Based on these processes, we ultimately identified 1,338 potential inhibitors of APE1 with predicted binding affinities to the enzyme.
Low Frequency Noise Modeling and SPICE Implementation of Nanoscale MOSFETs
Jonghwan Lee 대한전자공학회 2021 Journal of semiconductor technology and science Vol.21 No.1
The physics-based compact gate and drain current noise models of nanoscale MOSFETs at low frequencies are presented. The models are primarily developed to be implemented in circuit simulators and are further applied to gain insight into the noise behavior of advanced MOSFETs. For a comprehensive evaluation of noise performance at low frequencies, the models describe all the important physical noise sources and effects which are observed in nanoscale MOSFETs with ultrathin gate oxides. The models account for the gate leakage current noise, the drain current noise, cross correlation effects between the gate and the drain, and quantum mechanical (QM) effects in the inversion layer. With the help of an accurate and generally applicable compact noise models, the compact noise models are successfully implemented into BSIM (Berkeley Short-channel IGFET Model) format and are validated through a comparison of simulation results and measurements.