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시트르산처리와 열처리가 인삼 잎 중 진세노사이드의 함량 변화에 미치는 영향
김진혁, Gao Dan, 조종운, 강종성 충남대학교 약학대학 의약품개발연구소 2021 藥學論文集 Vol.36 No.-
The rare ginsenosides are seldom found in nature. However, they are recognized as showing higher biological activities than other ginsenosides. There are many reports about increasing the contents of rare ginsenosides in ginseng root using chemical, physical or biological methods. Some of the methods were very successful and contributed to increase the quality of the ginseng products. We tried to increase the rare ginsenosides in ginseng leaves with citric acid or heat treatment. In this way, the industrial value of ginseng leaves could be highly increased. The ginsenosides in untreated and treated ginseng leaves were identified and determined using high performance liquid chromatography with ultra- violet detection and mass spectrometry. The results showed that the contents of rare ginsenosides in- creased after heat treatment or citric acid treatment, however heat treatment was more effective. Furthermore, when the ginseng leaves were treated with 1 mol/L citric acid together with 3 hours of heat treatment, the contents of eight rare ginsenosides of Rg6, F2, F4, Rk3, Rg3(S), Rg3(R), Rk1, Rg5 were increased to 0.64%, 1.26%, 0.54%, 1.11%, 0.73%, 0.73%, 0.23%, 0.58% and 1.14%, respectively. This study suggested that the combined treatment of citric acid and heat treatment could be applied for the process of ginseng leaves with enhanced biological activities through increased contents of rare ginsenosides.
A Network Intrusion Detection Model Based on K-means Algorithm and Information Entropy
Gao Meng,Li Dan,Wang Ni-hong,Liu Li-chen 보안공학연구지원센터 2014 International Journal of Security and Its Applicat Vol.8 No.6
Many factors could influence the clustering performance of K-means algorithm, selection of initial cluster centers was an important one, traditional method had a certain degree of randomness in dealing with this problem, for this purpose, information entropy was introduced into the process of cluster centers selection, and a fusion algorithm combining with information entropy and K-means algorithm was proposed, in which, information entropy value was used to measure the similarity degree among records, the least similar record would be regarded as a cluster center. In addition, a network intrusion detection model was built, it could make cluster centers change dynamically along with the network changes, and the model could real-time update the cluster centers according to actual needs. Experiment results show that the improved algorithm proposed is better than the traditional K-means algorithm in detection ratio and false alarm ratio, and the network intrusion detection model is proved to be feasible.
Gao Dan,Vinh Le Ba,조종운,Kyoung Won Cho,Kim Young Ho,Kang Jong Seong 한국응용생명화학회 2020 Applied Biological Chemistry (Appl Biol Chem) Vol.63 No.5
The leaves of Stauntonia hexaphylla (SHL) are a very popular herbal medicine in Korea because it can be used to treat rheumatic osteoporosis and other diseases. However, owing to the inconsistency in harvesting time and growth years, their quality is uneven, which indirectly negatively affects the safety of this medication. Therefore, the difference of constituents in SHL harvested at different seasons and years were analyzed by high-performance liquid chromatography coupled to photodiode-array and electrospray ionization mass spectrometry detectors (HPLC–PDA–ESI/ MS). A total of 15 components were tentatively characterized in samples of SHL, including 5 compounds reported for the first time in this plant. Moreover, the relative content of these constitutions was simultaneously determined by HPLC coupled with evaporative light scattering detection (ELSD). Hierarchical clustering analysis (HCA) and principal component analysis (PCA) revealed that the quality has a certain extent difference in different harvest times, the best harvest time was 3 years old growing in autumn. The same harvest time was also suggested based on the anti-inflammatory evaluation.
GPR78 promotes lung cancer cell migration and metastasis by activation of Gαq-Rho GTPase pathway
( Dan-dan Dong ),( Hui Zhou ),( Gao Li ) 생화학분자생물학회(구 한국생화학분자생물학회) 2016 BMB Reports Vol.49 No.11
GPR78 is an orphan G-protein coupled receptor (GPCR) that is predominantly expressed in human brain tissues. Currently, the function of GPR78 is unknown. This study revealed that GPR78 was expressed in lung cancer cells and functioned as a novel regulator of lung cancer cell migration and metastasis. We found that knockdown of GPR78 in lung cancer cells suppressed cell migration. Moreover, GPR78 modulated the formation of actin stress fibers in A549 cells, in a RhoA- and Rac1-dependent manner. At the molecular level, GPR78 regulated cell motility through the activation of Gαq-RhoA/ Rac1 pathway. We further demonstrated that in vivo, the knockdown of GPR78 inhibited lung cancer cell metastasis. These findings suggest that GPR78 is a novel regulator for lung cancer metastasis and may serve as a potential drug target against metastatic human lung cancer. [BMB Reports 2016; 49(11): 623-628]