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Lee, Taehyung,Jung, Won-Mo,Lee, In-Seon,Lee, Ye-Seul,Lee, Hyejung,Park, Hi-Joon,Kim, Namil,Chae, Younbyoung Hindawi Publishing Corporation 2014 Evidence-based Complementary and Alternative Medic Vol.2014 No.-
<P>Throughout the history of East Asian medicine, different kinds of acupuncture treatment experiences have been accumulated in classical medical texts. Reexamining knowledge from classical medical texts is expected to provide meaningful information that could be utilized in current medical practices. In this study, we used data mining methods to analyze the association between acupoints and patterns of disorder with the classical medical book<I> DongUiBoGam </I>of Korean medicine. Using the term frequency-inverse document frequency (tf-idf) method, we quantified the significance of acupoints to its targeting patterns and, conversely, the significance of patterns to acupoints. Through these processes, we extracted characteristics of each acupoint based on its treating patterns. We also drew practical information for selecting acupoints on certain patterns according to their association. Data analysis on<I> DongUiBoGam</I>'s acupuncture treatment gave us an insight into the main idea of<I> DongUiBoGam</I>. We strongly believe that our approach can provide a novel understanding of unknown characteristics of acupoint and pattern identification from the classical medical text using data mining methods.</P>
Synthetic Biology Tools for Novel Secondary Metabolite Discovery in Streptomyces
( Namil Lee ),( Soonkyu Hwang ),( Yongjae Lee ),( Suhyung Cho ),( Bernhard Palsson ),( Byung-kwan Cho ) 한국미생물생명공학회(구 한국산업미생물학회) 2019 Journal of microbiology and biotechnology Vol.29 No.5
Streptomyces are attractive microbial cell factories that have industrial capability to produce a wide array of bioactive secondary metabolites. However, the genetic potential of the Streptomyces species has not been fully utilized because most of their secondary metabolite biosynthetic gene clusters (SM-BGCs) are silent under laboratory culture conditions. In an effort to activate SM-BGCs encoded in Streptomyces genomes, synthetic biology has emerged as a robust strategy to understand, design, and engineer the biosynthetic capability of Streptomyces secondary metabolites. In this regard, diverse synthetic biology tools have been developed for Streptomyces species with technical advances in DNA synthesis, sequencing, and editing. Here, we review recent progress in the development of synthetic biology tools for the production of novel secondary metabolites in Streptomyces, including genomic elements and genome engineering tools for Streptomyces, the heterologous gene expression strategy of designed biosynthetic gene clusters in the Streptomyces chassis strain, and future directions to expand diversity of novel secondary metabolites.
박남일(NamIl Park),유용희(YongHee Yoo),이희정(HeeJeong Lee),송찬호(ChanHo Song),이상락(SangRak Lee) 한국정보기술학회 2007 한국정보기술학회논문지 Vol.5 No.2
We present a method for haptic texture rendering of rough surfaces. This method first makes a virtual rough-surfaced material in the cyber space, which is fabricated with several materials of different properties in a checkboard pattern. When we scrape on the surface of the virtual material with haptic device, we can feel the fluctuating force. By doing like this, we can synthesize the haptic force on a rough-surfaced material. The method also change the value of parameter for computing the haptic force to increase the effect of rendering. Experimental results show that our method yields a plausible synthetic haptic rendering for a rough texture surfaces.
Systematic Analysis on Transcription Unit Architecture of Streptomyces avermitilis
Yongjae LEE,Namil LEE,Soonkyu HWANG,Woori KIM,Suhyung CHO,Bernhard O. PALSSON,Byung-Kwan CHO 한국생물공학회 2021 한국생물공학회 학술대회 Vol.2021 No.10
Streptomyces avermitilis holds industrial importance as the producer of avermectin, a widely used anthelmintic agent. Despite its importance, S. avermitilis’ genome organization and regulation of gene expression remain poorly understood. To understand the genome-scale gene expression landscape, four types of next-generation sequencing techniques, including dRNA-Seq, Term-Seq, RNA-Seq, and Ribo-Seq, were exploited, determining a total of 1,601 transcription units (TUs) in S. avermitilis. Integrative analysis of the TU information with gene expression datasets revealed diverse regulatory elements, including promoters, ribosome binding sites and transcription terminators. The TU architecture also suggests the presence of novel small RNAs and cis-regulatory elements in the genome. Our findings will elevate S. avermitilis’ potential as a production host for a diverse set of secondary metabolites.