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Incorporation of Unnatural Amino Acids in Response to the AGG Codon
Lee, Byeong Sung,Shin, Seunggun,Jeon, Jong Yeob,Jang, Kyoung-Soon,Lee, Bun Yeol,Choi, Sangdun,Yoo, Tae Hyeon American Chemical Society 2015 ACS CHEMICAL BIOLOGY Vol.10 No.7
<P>The biological protein synthesis system has been engineered to incorporate unnatural amino acid into proteins, and this has opened up new routes for engineering proteins with novel compositions. While such systems have been successfully applied in research, there remains a need to develop new approaches with respect to the wider application of unnatural amino acids. In this study, we reported a strategy for incorporating unnatural amino acids into proteins by reassigning one of the Arg sense codons, the AGG codon. Using this method, several unnatural amino acids were quantitatively incorporated into the AGG site. Furthermore, we applied the method to multiple AGG sites, and even to tandem AGG sequences. The method developed and described here could be used for engineering proteins with diverse unnatural amino acids, particularly when employed in combination with other methods.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/acbcct/2015/acbcct.2015.10.issue-7/acschembio.5b00230/production/images/medium/cb-2015-00230j_0004.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/cb5b00230'>ACS Electronic Supporting Info</A></P>
Prediction of Carcass Composition Using Carcass Grading Traits in Hanwoo Steers
Lee, Jooyoung,Won, Seunggun,Lee, Jeongkoo,Kim, Jongbok Asian Australasian Association of Animal Productio 2016 Animal Bioscience Vol.29 No.9
The prediction of carcass composition in Hanwoo steers is very important for value-based marketing, and the improvement of prediction accuracy and precision can be achieved through the analyses of independent variables using a prediction equation with a sufficient dataset. The present study was conducted to develop a prediction equation for Hanwoo carcass composition for which data was collected from 7,907 Hanwoo steers raised at a private farm in Gangwon Province, South Korea, and slaughtered in the period between January 2009 and September 2014. Carcass traits such as carcass weight (CWT), back fat thickness (BFT), eye-muscle area (EMA), and marbling score (MAR) were used as independent variables for the development of a prediction equation for carcass composition, such as retail cut weight and percentage (RC, and %RC, respectively), trimmed fat weight and percentage (FAT, and %FAT, respectively), and separated bone weight and percentage (BONE, and %BONE), and its feasibility for practical use was evaluated using the estimated retail yield percentage (ELP) currently used in Korea. The equations were functions of all the variables, and the significance was estimated via stepwise regression analyses. Further, the model equations were verified by means of the residual standard deviation and the coefficient of determination ($R^2$) between the predicted and observed values. As the results of stepwise analyses, CWT was the most important single variable in the equation for RC and FAT, and BFT was the most important variable for the equation of %RC and %FAT. The precision and accuracy of three variable equation consisting CWT, BFT, and EMA were very similar to those of four variable equation that included all for independent variables (CWT, BFT, EMA, and MAR) in RC and FAT, while the three variable equations provided a more accurate prediction for %RC. Consequently, the three-variable equation might be more appropriate for practical use than the four-variable equation based on its easy and cost-effective measurement. However, a relatively high average difference for the ELP in absolute value implies a revision of the official equation may be required, although the current official equation for predicting RC with three variables is still valid.
Lee, Albert S.,Lee, Jin Hong,Choi, Seung-Sock,Cho, Kie Yong,Yu, Seunggun,Koo, Chong Min,Baek, Kyung-Youl,Hwang, Seung Sang Pergamon Press 2017 European polymer journal Vol.95 No.-
<P><B>Abstract</B></P> <P>A series of inorganic-organic hybrid UV-curable ionic polysilsesquioxanes were synthesized through Menshutkin reactions with various tertiary amine vinyl or methacrylic monomers to quantitatively quaternize various alkyl-halide ladder-like functionalized polysilsesquioxanes. The effect of quaternary ammonium salt cation, anion, as well as UV-curing were examined. Obtained ionic polysilsesquioxanes exhibited exceptional thermal stability (>350°C), high surface hardness (6H), high refractive index (>1.66), and substantial decrease in brittleness index. In addition to the excellent hardcoating properties, the ionic groups imbued antibacterial properties against gram positive and gram negative bacteria, which may allow for applications in flexible electronic devices.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A series of ionic group-functionalized hybrid copolymers were synthesized. </LI> <LI> UV-curing yielded mechanically robust ionic surfaces with optical transparency. </LI> <LI> Effect of cation and anion structure on antibacterial properties were investigated. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Low percolation 3D Cu and Ag shell network composites for EMI shielding and thermal conduction
Lee, Seung Hwan,Yu, Seunggun,Shahzad, Faisal,Hong, Junpyo,Noh, Seok Jin,Kim, Woo Nyon,Hong, Soon Man,Koo, Chong Min Elsevier 2019 Composites science and technology Vol.182 No.-
<P><B>Abstract</B></P> <P>Metal-coated polymer bead based composites are promising as electromagnetic interference (EMI) shielding and thermally conductive materials because they form a percolation 3D metal shell network at very low filler content. Herein, we fabricated 3D Cu/Ag shell network composites through electroless plating of metal on polymer beads and a simple hot pressing technique. Cu and Ag shells provide a continuous network for electron and heat conduction; thus, yielding excellent EMI shielding effectiveness of 110 dB at a 0.5 mm thickness and a thermal conductivity of 16.1 W m<SUP>−1</SUP>K<SUP>−1</SUP> at only 13 vol % of metal filler. The properties of composites depend on the size of polystyrene (PS) beads and large size metal-coated PS bead composites exhibit higher electrical conductivity, EMI shielding effectiveness, and thermal conductivity than small size bead composites. These results are ascribed to the reduction in the number of contact interfaces between metal-coated beads, which minimizes the interfacial resistance. This study is set to pave the way for designing advanced EMI shielding and thermal conductive materials by a scalable and efficient synthesis approach.</P>
Copper Shell Networks in Polymer Composites for Efficient Thermal Conduction
Yu, Seunggun,Lee, Jang-Woo,Han, Tae Hee,Park, Cheolmin,Kwon, Youngdon,Hong, Soon Man,Koo, Chong Min American Chemical Society 2013 ACS APPLIED MATERIALS & INTERFACES Vol.5 No.22
<P>Thermal management of polymeric composites is a crucial issue to determine the performance and reliability of the devices. Here, we report a straightforward route to prepare polymeric composites with Cu thin film networks. Taking advantage of the fluidity of polymer melt and the ductile properties of Cu films, the polymeric composites were created by the Cu metallization of PS bead and the hot press molding of Cu-plated PS beads. The unique three-dimensional Cu shell-networks in the PS matrix demonstrated isotropic and ideal conductive performance at even extremely low Cu contents. In contrast to the conventional simple melt-mixed Cu beads/PS composites at the same concentration of 23.0 vol %, the PS composites with Cu shell networks indeed revealed 60 times larger thermal conductivity and 8 orders of magnitude larger electrical conductivity. Our strategy offers a straightforward and high-throughput route for the isotropic thermal and electrical conductive composites.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/aamick/2013/aamick.2013.5.issue-22/am4030406/production/images/medium/am-2013-030406_0006.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/am4030406'>ACS Electronic Supporting Info</A></P>
Genetic Relationships of Carcass Traits with Retail Cut Productivity of Hanwoo Cattle
Koh, Daeyoung,Lee, Jeongkoo,Won, Seunggun,Lee, Chaeyoung,Kim, Jongbok Asian Australasian Association of Animal Productio 2014 Animal Bioscience Vol.27 No.10
This study aimed to estimate genetic correlation between carcass grading and retail productivity traits and to estimate the correlated response on retail productivity traits through selection for carcass grading traits in order to assess the efficacy of indirect selection. Genetic parameters were estimated with the data from 4240 Hanwoo steers using mixed models, and phenotypes included carcass weight (CWT), back fat thickness (BFT), eye muscle area (EMA), marbling (MAR), and estimated lean yield percentage (ELP) as the carcass grading traits, and weight and portion of retail cuts (RCW and RCP), trimmed fats (TFW and TFP) and trimmed bones (TBW and TBP) as the lean productivity traits. The CWT had positive genetic correlations with RCW (0.95) and TFW (0.73), but its genetic correlation with RCP was negligible (0.02). The BFT was negatively correlated with RCP (-0.63), but positively correlated with TFW and TFP (0.77 and 0.70). Genetic correlations of MAR with TFW and TFP were low. Among the carcass grading traits, only EMA was positively correlated with both RCW (0.60) and RCP (0.72). The EMA had a relatively strong negative genetic correlation with TFW (-0.64). The genetic correlation coefficients of ELP with RCP, TFW, and TFP were 0.76, -0.90, and -0.82, respectively. These correlation coefficients suggested that the ELP and EMA might be favorable traits in regulating lean productivity of carcass.