• Title/Summary/Keyword: Yu Won-Ji

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Isolation and Characterization of Kasugamycin Biosynthetic Genes from Streptomyces kasugaensis KACC 20262

  • JO YOU-YOUNG;LIU JING;JIN YING-YU;YANG YOUNG-YELL;SUH JOO-WON
    • Journal of Microbiology and Biotechnology
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    • v.15 no.3
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    • pp.491-496
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    • 2005
  • The biosynthetic gene cluster for the aminoglycoside antibiotic kasugamycin was isolated and characterized from the kasugamycin producing strain, Streptomyces kasugaensis KACC 20262. By screening a fosmid library using kasA, the gene encoding aminotransferase, we isolated a 22 kb DNA fragment. The fragment contained seventeen complete open reading frames (ORFs); one of these ORFs, kasD, was identified as the gene for dNDP-glucose 4,6-dehydratase, which catalyzes the conversion of dNDP-glucose to 4-keto-6-deoxy-dNDP-glucose. The enzyme showed a broad spectrum of substrate specificity. In addition, ksR was overexpressed in E. coli BL21 and proved to be a self-resistance gene against kasugamycin. These findings suggest that the isolated gene cluster is highly likely responsible for the biosynthesis of kasugamycin.

Determination of voice phishing based on deep learning and sentiment analysis (딥러닝과 감성 분석에 따른 보이스피싱 여부 판별)

  • Kim, Won-Woong;Kang, Yea-Jun;Kim, Hyun-Ji;Yang, Yu-Jin;Oh, Yu-Jin;Lee, Min-Woo;Lim, Se-Jin;Seo, Hwa-Jeong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.811-814
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    • 2021
  • 본 논문에서는 점차 진화되어가는 보이스피싱 수법에 대하여 딥러닝 기반 네트워크인 DNN(Deep Neural Network)를 통한 보이스피싱 여부 판별할 뿐만 아니라, CNN, Bi-LSTM을 활용한 다양한 관점에서의 감성 분석을 통하여 보이스피싱 조직원의 감성 상태를 파악하여 판별된 결과에 신뢰도를 높여주는 모델을 제안하였다.