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김장민(Jangmin Kim),이연동(Yeondong Lee),조영석(Youngseuk Cho) 한국자료분석학회 2023 Journal of the Korean Data Analysis Society Vol.25 No.5
SNS, 논문, 설문조사 주관식 문항 답변과 같은 자연어로 이루어진 비정형 데이터는 텍스트 마이닝을 이용하여 분석 결과를 비교하거나 시각화하는 경우가 일반적이다. 년, 분기, 월, 요일과 같은 시간을 나타내는 임의의 구간을 설정하여 텍스트 데이터를 분석할 경우 전체 구간 중 어떤 구간에 데이터가 가장 많고 적은지, 전체 구간 중 구간별로 많이 사용된 감정 단어가 무엇인지, 특정 구간에 있는 텍스트 데이터가 상대적으로 얼마큼 많이 긍정보다 부정적으로 작성되었는지 판단해야 할 경우가 있다. 본 연구에서는 2019년부터 2022년까지 “지방대”와 관련된 뉴스 기사를 수집하기 위해 네이버에서 “지방대”라고 검색한 뒤 네이버 뉴스라고 표시된 기사만을 수집하여 위의 세 가지 정보를 한 번에 전달할 수 있는 감정 비율 단어 그래프를 제안한다. 감정 비율단어 그래프는 텍스트 데이터를 년, 분기, 월, 요일과 같은 시간을 나타내는 임의의 구간 기준으로 나눈 뒤 감성 사전에 있는 감정 점수를 텍스트 데이터에 부여하여 만들어진 그래프이다. 감정 비율 단어 그래프를 시각화할 때 파이계수도 같이 활용하여 단어를 표시한다면 특정 구간에서 감정 단어와 관련성이 가장 큰 단어가 무엇인지에 대한 정보를 추가로 전달할 수 있다. Unstructured data consisting of natural language such as SNS, papers, and questionnaire subjective question answers are generally compared or visualized using text mining. When analyzing text data by setting a random interval representing a time such as year, quarter, month, and day, it may be necessary to determine which interval has the most data, which sentiment words are used a lot for each interval, and how much text data in a particular interval is written negatively than positive. As a way to solve this problem, this study proposes an sentiment ratio word graph that can deliver the above three information at once. An sentiment ratio word graph is a graph created by dividing text data by a random interval standard representing time such as year, quarter, month, and day of the week and then assigning the sentiment score in the sentiment dictionary to the text data. When visualizing an sentiment ratio word graph, if you also use the pie coefficient to display words, you can further convey information about which words are most relevant to the sentiment word in a particular interval.
Identification of peptide based B-cell epitopes in Zika virus NS1
Lee, Hee-Jung,Cho, Yeondong,Kang, Hyeon Jeong,Choi, Hanul,Han, Kang Rok,Chong, Chom Kyu,Kim, Young Bong Elsevier 2018 Biochemical and biophysical research communication Vol.505 No.4
<P><B>Abstract</B></P> <P>Zika virus (ZIKV), a mosquito-borne flavivirus that has recently emerged globally, poses a major threat to public health. To control this emerging disease, accurate diagnostics are required for monitoring current ZIKV outbreaks. Owing to the high nucleotide sequence similarity and cross-reactivity of ZIKV with other members of the Flaviviridae family, discrimination from other flavivirus infections is often difficult in endemic areas. ZIKV NS1 induces major virus-specific antibodies and is therefore utilized as a serological marker for ZIKV diagnosis. To identify ZIKV specific epitopes for clinical application, 33 NS1 peptides that are 15–30 amino acid in length covering whole NS1 were synthesized and analyzed linear B-cell epitopes with 38 human serum samples (20 ZIKV-positive and 18 ZIKV-negative). As a result of screening, eight epitope regions were identified. In particular, the Z8 and Z14 peptides located in the β-ladder surface region showed higher levels of binding activity in ZIKV-positive sera without cross-reactivity to other flaviviruses. These identified sensitive and specific epitopes provide a tool for design of diagnostics and structure-based vaccine antigens for ZIKV infection.</P> <P><B>Highlights</B></P> <P> <UL> <LI> B-cell epitope mapping in ZIKV NS1. </LI> <LI> Identification of the ZIKV NS1 specific antibody binding site. </LI> <LI> Tool for design of diagnostics and structure-based vaccine against ZIKV. </LI> </UL> </P>
Cho, Hansam,Park, Na Hye,Jang, Yuyeon,Gwon, Yong-Dae,Cho, Yeondong,Heo, Yoon-Ki,Park, Ki-Hoon,Lee, Hee-Jung,Choi, Tae Jin,Kim, Young Bong Elsevier 2017 Journal of invertebrate pathology Vol.144 No.-
<P><B>Abstract</B></P> <P>Despite large economic losses attributable to white spot syndrome virus (WSSV), an infectious pathogen of penaeid shrimp and other crustaceans worldwide, no efficient vaccines or antiviral agents to control the virus are available at present. Here, we designed and constructed baculovirus-based vaccines delivering genes encoding the WSSV envelope proteins, VP28 and VP19. To enhance the immunogenicity of the baculovirus-based vaccine, we fused a Salmonella typhimurium flagellin 2 (FL2) gene with VP28 or VP19 gene. Both vaccine constructs elicited similar high titlers of anti-WSSV IgG after oral immunization in mice. The protective effect of oral vaccines upon WSSV challenge was observed in Macrobrachium nipponense. Bivalent vaccine displaying WSSV envelope proteins, VP19 and VP28, led to enhanced more than 10% survival protection against WSSV infection, compared to monovalent vaccine containing WSSV envelope protein, VP19 or VP28. Furthermore, a baculovirus-based WSSV vaccine fused with FL2 gene, Ac-VP28-ie1VP19FL2, efficiently protected mice against WSSV challenge (89.5% survival rate). In support of the efficacy of FL2 in our vaccine, we verified FL2 enhanced survival rate and induced the NF-κB gene in <I>Palaemon paucidens</I>. The collective results strongly suggest that our recombinant baculoviral system displaying WSSV envelope protein and delivering FL2-fused WSSV envelope gene effectively induced protective responses, supporting the utility of a potential new oral DNA vaccine against WSSV.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Here, baculovirus-based WSSV vaccine fused with Salmonella typhimurium flagellin 2 (FL2) was constructed. </LI> <LI> Oral administration of <I>Macrobrachium nipponense</I> with the resulting vaccine (Ac-VP28-ie1VP19FL2) efficiently protected against WSSV challenge, and FL2-fused WSSV envelope gene effectively induced protective responses. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>