• 제목/요약/키워드: Informatics

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The 1H and 13C NMR Data of 19 Methoxyflavonol Derivatives

  • Park, Young-Hee;Moon, Byoung-Ho;Lee, Eun-Jung;Hong, Sun-Hee;Lee, Sun-Hee;Lim, Yoong-Ho
    • Bulletin of the Korean Chemical Society
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    • 제29권1호
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    • pp.81-84
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    • 2008
  • In the present study, we report 1H and 13C NMR data of 19 methoxyflavonol derivatives with different substitution patterns on A- and B-ring. In addition, the influence of the methoxy substituents in A- and B-ring on the 1H and 13C NMR chemical shifts is discussed: the 1H and 13C chemical shifts of and the number of methoxyl groups provided information allowing elimination of many structural isomers from consideration and in certain instances greatly simplified structural elucidation.

Xperanto: A Web-Based Integrated System for DNA Microarray Data Management and Analysis

  • Park, Ji Yeon;Park, Yu Rang;Park, Chan Hee;Kim, Ji Hoon;Kim, Ju Ha
    • Genomics & Informatics
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    • 제3권1호
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    • pp.39-42
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    • 2005
  • DNA microarray is a high-throughput biomedical technology that monitors gene expression for thousands of genes in parallel. The abundance and complexity of the gene expression data have given rise to a requirement for their systematic management and analysis to support many laboratories performing microarray research. On these demands, we developed Xperanto for integrated data management and analysis using user-friendly web-based interface. Xperanto provides an integrated environment for management and analysis by linking the computational tools and rich sources of biological annotation. With the growing needs of data sharing, it is designed to be compliant to MGED (Microarray Gene Expression Data) standards for microarray data annotation and exchange. Xperanto enables a fast and efficient management of vast amounts of data, and serves as a communication channel among multiple researchers within an emerging interdisciplinary field.

Currents in Integrative Biochip Informatics

  • Kim, Ju-Han
    • 한국생물정보학회:학술대회논문집
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    • 한국생물정보시스템생물학회 2001년도 제2회 생물정보 워크샵 (DNA Chip Bioinformatics)
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    • pp.1-9
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    • 2001
  • scale genomic and postgenomic data means that many of the challenges in biomedical research are now challenges in computational sciences and information technology. The informatics revolutions both in clinical informatics and bioinformatics will change the current paradigm of biomedical sciences and practice of clinical medicine, including diagnostics, therapeutics, and prognostics. Postgenome informatics, powered by high throughput technologies and genomic-scale databases, is likely to transform our biomedical understanding forever much the same way that biochemistry did a generation ago. In this talk, 1 will describe how these technologies will in pact biomedical research and clinical care, emphasizing recent advances in biochip-based functional genomics. Basic data preprocessing with normalization and filtering, primary pattern analysis, and machine teaming algorithms will be presented. Issues of integrated biochip informatics technologies including multivariate data projection, gene-metabolic pathway mapping, automated biomolecular annotation, text mining of factual and literature databases, and integrated management of biomolecular databases will be discussed. Each step will be given with real examples from ongoing research activities in the context of clinical relevance. Issues of linking molecular genotype and clinical phenotype information will be discussed.

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Characterization of Uridine-Diphosphate Dependent Flavonoid Glucosyltransferase from Oryza sativa

  • Hong, Byoung-Seok;Kim, Jeong-Ho;Kim, Na-Yeon;Kim, Bong-Gyu;Chong, You-Hoon;Ahn, Joong-Hoon
    • BMB Reports
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    • 제40권6호
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    • pp.870-874
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    • 2007
  • We cloned a uridine-diphosphate dependent glycosyl-transferase RUGT-10 from Oryza sativa. The recombinant enzyme was expressed by glutathione-S transferase gene fusion system in Escherichia coli. RUGT10 showed different regioselectivity depending on the structures of substrates (e.g. flavanone, flavonol, and flavone). Apparently, flavanone such as naringenin and eriodictyol gave one 7-O-glucoside while flavone and flavonol gave more than two products with preferential glucosylation position of hydroxyl group at C-3 position.

GraPT: Genomic InteRpreter about Predictive Toxicology

  • Woo Jung-Hoon;Park Yu-Rang;Jung Yong;Kim Ji-Hun;Kim Ju-Han
    • Genomics & Informatics
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    • 제4권3호
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    • pp.129-132
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    • 2006
  • Toxicogenomics has recently emerged in the field of toxicology and the DNA microarray technique has become common strategy for predictive toxicology which studies molecular mechanism caused by exposure of chemical or environmental stress. Although microarray experiment offers extensive genomic information to the researchers, yet high dimensional characteristic of the data often makes it hard to extract meaningful result. Therefore we developed toxicant enrichment analysis similar to the common enrichment approach. We also developed web-based system graPT to enable considerable prediction of toxic endpoints of experimental chemical.

생명정보학과 유전체의학 (Bioinformatics and Genomic Medicine)

  • 김주한
    • Journal of Preventive Medicine and Public Health
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    • 제35권2호
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    • pp.83-91
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    • 2002
  • Bioinformatics is a rapidly emerging field of biomedical research. A flood of large-scale genomic and postgenomic data means that many of the challenges in biomedical research are now challenges in computational sciences. Clinical informatics has long developed methodologies to improve biomedical research and clinical care by integrating experimental and clinical information systems. The informatics revolutions both in bioinformatics and clinical informatics will eventually change the current practice of medicine, including diagnostics, therapeutics, and prognostics. Postgenome informatics, powered by high throughput technologies and genomic-scale databases, is likely to transform our biomedical understanding forever much the same way that biochemistry did a generation ago. The paper describes how these technologies will impact biomedical research and clinical care, emphasizing recent advances in biochip-based functional genomics and proteomics. Basic data preprocessing with normalization, primary pattern analysis, and machine learning algorithms will be presented. Use of integrated biochip informatics technologies, text mining of factual and literature databases, and integrated management of biomolecular databases will be discussed. Each step will be given with real examples in the context of clinical relevance. Issues of linking molecular genotype and clinical phenotype information will be discussed.