• Title/Summary/Keyword: Chemical library

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The Improvements of the Subject Chemical Engineering in the 4th Edition of Korean Decimal Classification (KDC 제4판 화학공학(570)분야 전개의 개선방안)

  • Yeo, Ji-Suk;Lee, Joon-Man;Oh, Dong-Geun
    • Journal of Korean Library and Information Science Society
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    • v.39 no.2
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    • pp.249-266
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    • 2008
  • This study investigated general problems concerning the subject Chemical Engineering in the KDC(Korean Decimal Classification) 4th edition based on the comparative analysis with DDC, NDC, and Disciplinary Classification System of Korean Research Foundation, and suggested on some ideas for the improvements of them. The subject of chemical Engineering in the KDC 4th edition had to be improved to use current terminology, to choose appropriate headings, and to subdivide the subjects more to introduce new topics.

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Development of a Single Chain Antibody Using a Phage Display Cloning Method for the Detection of 2,4-Dinitrotoluene

  • Na, Jung-Hyun;Joo, Man-Seok;Lee, Won-Kyu;Shim, Hyunbo;Lim, Si-Hyung;Jung, Sang Taek;Yu, Yeon Gyu
    • Bulletin of the Korean Chemical Society
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    • v.34 no.2
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    • pp.460-464
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    • 2013
  • Single-chain variable fragments of antibodies (scFv) specific to 2,4-dinitrotoluene (DNT) were isolated from a phage library displaying synthetic human scFv fragments with 6 diversified complementary determining regions (CDRs). A DNT derivative that contained an extended amine group was synthesized and conjugated to the NHS-group that was linked to magnetic beads. Phages specific to the immobilized DNT derivatives were isolated from the library after 4 rounds of sequential binding and elution processes. The displayed scFv fragments from the isolated phages showed consensus CDR sequences. One DNT-specific scFv was expressed in E. coli and purified using Ni-affinity chromatography. The purified DNT-specific scFv binds specifically to the immobilized DNT-derivative with $K_D$ value of $6.0{\times}10^{-7}$ M. The scFv and DNT interaction was not disrupted by the addition of 4-nitrotoluene or benzoic acid. These data demonstrate that the screened scFv from the phage displayed library could be used for selective and sensitive detection of explosives such as TNT.

Synthesis of 2-Thio-4-aminopyrimidine Derivatives as Anti-cancer Agent

  • Lee, Sang-Hyo;Lee, Jin-Ho
    • Biomedical Science Letters
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    • v.15 no.2
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    • pp.105-112
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    • 2009
  • The screening of the anti-cancer activity of the chemical library provided 2-thio-4-aminopyrimidine as the initial hit. The confirmation of structure and biological effect of hit was performed by synthesis and biological evaluation. The optimization of hit was performed by derivatization of substituents while keeping the core structure. The evaluation of growth inhibitory activity was carried out using SRB assay against 6 human cancer cell lines and human fibroblast. The growth inhibitory activity of compounds showed substituent dependency and more than 5 compounds showed complete growth inhibition of cancer cell lines at 10 ${\mu}M$ concentration. Chemical library screening followed by synthetic modification provided possibility that 2-thio-4-aminopyrimidine can be used as a new scaffold for the development of anti-cancer agent.

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Classification of Piperazinylalkylisoxazole Library by Recursive Partitioning

  • Kim, Hye-Jung;Park, Woo-Kyu;Cho, Yong-Seo;No, Kyoung-Tai;Koh, Hun-Yeong;Choo, Hyun-Ah;Pae, Ae-Nim
    • Bulletin of the Korean Chemical Society
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    • v.29 no.1
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    • pp.111-116
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    • 2008
  • A piperazinylalkylisoxazole library containing 86 compounds was constructed and evaluated for the binding affinities to dopamine (D3) and serotonin (5-HT2A/2C) receptor to develop antipsychotics. Dopamine antagonists (DA) showing selectivity for D3 receptor over the D2 receptor, serotonin antagonists (SA), and serotonin-dopamine dual antagonists (SDA) were identified based on their binding affinity and selectivity. The analogues were divided into three groups of 7 DAs (D3), 33 SAs (5-HT2A/2C), and 46 SDAs (D3 and 5-HT2A/2C). A classification model was generated for identifying structural characteristics of those antagonists with different affinity profiles. On the basis of the results from our previous study, we conducted the generation of the decision trees by the recursive-partitioning (RP) method using Cerius2 2D descriptors, and identified and interpreted the descriptors that discriminate in-house antipsychotic compounds.