• Title/Summary/Keyword: Sequence pattern analysis

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Cloning of the β-Lactamase Gene from Bacillus sp. J105 and Analysis of Its Expression in E. colis Cells (Bacillus sp. J105 유래 β-lactamase 유전자의 cloning 및 E. coli 내에서의 발현 분석)

  • Kang, Won-Dae;Lim, Hak-Seo;Seo, Min-Jeong;Kim, Min-Jeong;Lee, Hye-Hyeon;Cho, Kyeong-Soon;Kang, Byoung-Won;Seo, Kwon-Il;Choi, Yung-Hyun;Jeong, Yong-Kee
    • Journal of Life Science
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    • v.18 no.11
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    • pp.1592-1599
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    • 2008
  • The $\beta$-lactamase gene was cloned into E. coli DH5$\alpha$ from Bacillus sp. J105 with strong resistance against $\beta$-lactam antibiotics. The chromosomal DNA was partially digested with Sau3AI and ligated to BamHI digested pLAFR3. $\beta$-Lactamase positive clones were obtained by using in vitro packaging kit. The pKL11-${\Delta}4.6$ with $\beta$-lactamase activity was obtained by subcloning of the recombinant plasmid ($\beta$-lac +). The 6.5 kb fragment in the subcloned plasmid was sequenced. The DNA fragment that contains the $\beta$-lactamase gene encodes 309 amino acids. The 0.17 kb upstream region was similar to those of B. thuringinesis and B. cereus with 97% identity. The deduced amino acids sequence was also similar to those of $\beta$-lactamase from B. thuringinesis and B. cereus with 97% and 94% identity, respectively. The phylogenetic tree also showed the relationships of the $\beta$-lactamase gene of Bacillus sp. J105 to genetically related that of other Bacillus strains. Analysis of expression pattern of the pKL11-${\Delta}4.6$ in E. coli, revealed that the secretion efficiency of $\beta$-lactamase was $4{\sim}5%$ and the molecular weight was as same as that of original $\beta$-lactamase (31 kDa) from Bacillus sp. J105.

Molecular Characterization and Phylogenetic Analysis of Season Influenza Virus Isolated in Busan during the 2006-2008 Seasons (부산지역에서 유행한 계절인플루엔자바이러스의 유전자 특성 및 계통분석('06-'08 절기))

  • Park, Yon-Koung;Kim, Nam-Ho;Choi, Seung-Hwa;Lee, Mi-Oak;Min, Sang-Kee;Kim, Seong-Joon;Cho, Kyung-Soon;Na, Young-Nan
    • Journal of Life Science
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    • v.20 no.3
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    • pp.365-373
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    • 2010
  • To monitor newly emerged influenza virus variants and to investigate the prevalence pattern, our laboratory performed isolation of the viruses from surveillance sentinel hospitals. In the present study, we analysed influenza A/H1N1, A/H3N2, B viruses isolated in Busan during the 2006/07 and 2007/08 seasons by sequence analysis of the hemagglutinin (HA1 subunit) and neuraminidase (NA) genes. The isolates studied here were selected by the stratified random sample method from a total of 277 isolates, in which 15 were A/H1N1, 16 were A/H3N2 and 29 were B. Based on the phylogenetic tree, the HA1 gene showed that A/H1N1 isolates had a 96.7% to 97.7% homology with the A/Brisbane/59/2007, A/H3N2 isolates had a 98.4% to 99.7% homology with the A/Brisbane/10/2007, and B isolates had a 96.5% to 99.7% homology with the B/Florida/4/2006(Yamagata lineage), which are all the vaccine strains for the Northern Hemisphere in 2008~2009 season. In the case of the NA gene, A/H1N1 isolates had 97.8% to 98.5% homologies, A/H3N2 isolates had 98.9% to 99.4% homologies, and B isolates had 98.9% to 100% homologies with each vaccine strain in the 2008~2009 season, respectively. Characterization of the hemagglutinin gene revealed that amino acids at the receptor-binding site and N-linked glycosylation site were highly conserved. These results provide useful information for the control of influenza viruses in Busan and for a better understanding of vaccine strain selection.

A Topic Modeling-based Recommender System Considering Changes in User Preferences (고객 선호 변화를 고려한 토픽 모델링 기반 추천 시스템)

  • Kang, So Young;Kim, Jae Kyeong;Choi, Il Young;Kang, Chang Dong
    • Journal of Intelligence and Information Systems
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    • v.26 no.2
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    • pp.43-56
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    • 2020
  • Recommender systems help users make the best choice among various options. Especially, recommender systems play important roles in internet sites as digital information is generated innumerable every second. Many studies on recommender systems have focused on an accurate recommendation. However, there are some problems to overcome in order for the recommendation system to be commercially successful. First, there is a lack of transparency in the recommender system. That is, users cannot know why products are recommended. Second, the recommender system cannot immediately reflect changes in user preferences. That is, although the preference of the user's product changes over time, the recommender system must rebuild the model to reflect the user's preference. Therefore, in this study, we proposed a recommendation methodology using topic modeling and sequential association rule mining to solve these problems from review data. Product reviews provide useful information for recommendations because product reviews include not only rating of the product but also various contents such as user experiences and emotional state. So, reviews imply user preference for the product. So, topic modeling is useful for explaining why items are recommended to users. In addition, sequential association rule mining is useful for identifying changes in user preferences. The proposed methodology is largely divided into two phases. The first phase is to create user profile based on topic modeling. After extracting topics from user reviews on products, user profile on topics is created. The second phase is to recommend products using sequential rules that appear in buying behaviors of users as time passes. The buying behaviors are derived from a change in the topic of each user. A collaborative filtering-based recommendation system was developed as a benchmark system, and we compared the performance of the proposed methodology with that of the collaborative filtering-based recommendation system using Amazon's review dataset. As evaluation metrics, accuracy, recall, precision, and F1 were used. For topic modeling, collapsed Gibbs sampling was conducted. And we extracted 15 topics. Looking at the main topics, topic 1, top 3, topic 4, topic 7, topic 9, topic 13, topic 14 are related to "comedy shows", "high-teen drama series", "crime investigation drama", "horror theme", "British drama", "medical drama", "science fiction drama", respectively. As a result of comparative analysis, the proposed methodology outperformed the collaborative filtering-based recommendation system. From the results, we found that the time just prior to the recommendation was very important for inferring changes in user preference. Therefore, the proposed methodology not only can secure the transparency of the recommender system but also can reflect the user's preferences that change over time. However, the proposed methodology has some limitations. The proposed methodology cannot recommend product elaborately if the number of products included in the topic is large. In addition, the number of sequential patterns is small because the number of topics is too small. Therefore, future research needs to consider these limitations.

Microbial Population Diversity of the Mud Flat in Suncheon Bay Based on 16S rDNA Sequences and Extracellular Enzyme Activities (남해안 갯벌 미생물의 세포외효소 활성 및 16S rDNA 분석에 의한 다양성 조사)

  • Kim, Yu-Jeong;Kim, Sung-Kyum;Kwon, Eun-Ju;Baik, Keun-Sik;Kim, Jung-Ho;Kim, Hoon
    • Applied Biological Chemistry
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    • v.50 no.4
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    • pp.268-275
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    • 2007
  • Diversity of the mud flat microbial population in Suncheon Bay was investigated by studying extracellular enzyme activities and 16S rDNA sequences. Four culturable bacterial strains with CMCase, xylanase and protease activities were isolated from the wetland and the mud flat. All the strains produced more xylanase activity than CMCase or protease activity, and the properties of the isolate enzymes from the wetland were similar to those from the mud flat. About 2,000 clones were obtained with the 16S rDNA amplified from the metagenomic DNA isolated from the mud samples. Based on the restriction pattern(s), seventeen clones were selected for base sequence analysis. Of the 17 clones, only 35% (6 clones) were found to be cultured strains and 65% (11 clones) to be uncultured strains. The similarities in the base sequences of the clones ranged from 91.0% to 99.9% with an average similarity of 97.3%. The clones could be divided into 7 groups, Proteobacteria (9 clones, 52.9%), Firmicutes (3 clones, 17.6%), Bacteroidetes (1 clone), Flavobacteria (1 clone), Verrucomicrobia (1 clone), Acidobacteria (1 clone), and Chloroflexi (1 clone). Most of the Proteobacteria clones were gamma Proteobacteria associated with oxidation-reduction of sulfur.

First Report of Soybean Dwarf Virus on Soybean(Glycine max) in Korea (콩(Glycine max)에서 콩위축바이러스(Soybean dwarf virus)의 최초 발생보고)

  • Kim, Sang-Mok;Lee, Jae-Bong;Lee, Yeong-Hoon;Choi, Se-Hoon;Choi, Hong-Soo;Park, Jin-Woo;Lee, Jun-Seong;Lee, Gwan-Seok;Moon, Jung-Kyung;Moon, Jae-Sun;Lee, Key-Woon;Lee, Su-Heon
    • Research in Plant Disease
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    • v.12 no.3
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    • pp.213-220
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    • 2006
  • In year 2003, a soybean(Glycine max) sample showing severe dwarfing symptom was collected from a farmers' field in Cheongsong in Korea. The results from the diagnosis of the sample by RT-PCR revealed that it was infected by Soybean dwarf virus(SbDV), SbDV-L81. This study could be the first report of the occurrence of the virus in Korea. To further characterize the virus, the partial nucleotide sequence of the genomic RNA of SbDV-L81 was determined by RT-PCR using species-specific primers. The sequences were analyzed and subsequently compared to previously characterized strains of SbDV based on the pattern of symptom expression and vector specificities. The intergenic region between ORF 2 and 3 and the coding regions of ORF 2, 3 and 4 were relatively similar to those of dwarfing strains(SbDV-DS and DP) rather than those of yellowing strains(SbDV-YS and YP). Likewise, the result from the analysis of 5'-half of the coding region of ORF5 indicated that SbDV-L81 was closely related to strains(SbDV-YP and DP) transmitted by Acyrthosiphon pisum. These data from the natural symptom and the comparisons of five regions of nucleotide sequences of SbDV suggested that SbDV-L81 might be closely related SbDV-DP.

Comparison of internal and marginal fit of crown according to milling order in a single machinable wax disc (단일 절삭가공용 왁스 디스크 내에서 순차적 절삭가공 순서에 따른 크라운의 내면 및 변연 적합도 비교)

  • Song, Jun-Beom;Lee, Jonghyuk;Ha, Seung-Ryong;Choi, Yu-Sung
    • The Journal of Korean Academy of Prosthodontics
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    • v.59 no.4
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    • pp.395-404
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    • 2021
  • Purpose. The purpose of present study was to evaluate the effect of changing structural stability of wax disc on the fit of prosthesis when the milling proceeded in order. Materials and methods. Prepared maxillary left first molar was used to fabricate a Ni-Cr alloy reference model. This was scanned to design crown and then wax pattern was milled, invested and cast to fabricate prosthesis. The wax patterns located in a row centrally within a single wax disc were set into a total of five groups ranging from WM1 group that was first milled to WM5 group that was last milled and the number of each group was set as 10. Silicone replica technique was used to measure the marginal gap, axial internal gap, line angle internal gap, occlusal internal gap. Data was evaluated with one-way ANOVA with significance level set at α = .05 and then Tukey HSD test was conducted for post analysis. Results. Marginal gap measured in each group, it was 40.41 ± 2.15 ㎛ in WM1 group, 40.44 ± 2.23 ㎛ in WM2 group, 39.96 ± 2.25 ㎛ in WM3 group, 39.96 ± 2.48 ㎛ in WM4 group, and 40.57 ± 2.53 ㎛ in WM5 group. No significant difference was found between groups. The significant difference between the groups was also not found in the axial internal gap, line angle internal gap, and occlusal internal gap. Conclusion. Internal and marginal fit of single crown to the sequential order of milling processing in the single machinable wax disc did not seem to be affected by the sequence.