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  1. Article ; Online: The Depside Derivative Pericodepside Inhibits Cancer Cell Metastasis and Proliferation by Suppressing Epithelial-Mesenchymal Transition.

    Zhou, Rui / Liu, Rundong / Kang, Kyo Bin / Kim, Wonyong / Hur, Jae-Seoun / Kim, Hangun

    ACS omega

    2024  Volume 9, Issue 6, Page(s) 6828–6836

    Abstract: A depside derivative, named pericodepside ( ...

    Abstract A depside derivative, named pericodepside (
    Language English
    Publishing date 2024-02-02
    Publishing country United States
    Document type Journal Article
    ISSN 2470-1343
    ISSN (online) 2470-1343
    DOI 10.1021/acsomega.3c08136
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  2. Article ; Online: Discovery of Naphthol Tetramers from Endolichenic Fungus

    Kim, Jaekyeong / He, Mei Tong / Hur, Jae-Seoun / Lee, Jin Woo / Kang, Kyo Bin / Kang, Ki Sung / Shim, Sang Hee

    Journal of natural products

    2023  Volume 86, Issue 8, Page(s) 2031–2038

    Abstract: Feature-based molecular networking analysis suggested the presence of naphthol tetramers ... ...

    Abstract Feature-based molecular networking analysis suggested the presence of naphthol tetramers in
    MeSH term(s) Naphthols ; Tandem Mass Spectrometry ; Ascomycota ; Xylariales
    Chemical Substances Naphthols
    Language English
    Publishing date 2023-08-17
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 304325-3
    ISSN 1520-6025 ; 0163-3864
    ISSN (online) 1520-6025
    ISSN 0163-3864
    DOI 10.1021/acs.jnatprod.3c00468
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1144: Show issues Location:
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  3. Article ; Online: Mass spectrometry data on specialized metabolome of medicinal plants used in East Asian traditional medicine.

    Kang, Kyo Bin / Jeong, Eunah / Son, Seungju / Lee, Eunjin / Lee, Seungjin / Choi, Seong Yeon / Kim, Hyun Woo / Yang, Heejung / Shim, Sang Hee

    Scientific data

    2022  Volume 9, Issue 1, Page(s) 528

    Abstract: Traditional East Asian medicine not only serves as a potential source of drug discovery, but also plays an important role in the healthcare systems of Korea, China, and Japan. Tandem mass spectrometry (MS/MS)-based untargeted metabolomics is a key ... ...

    Abstract Traditional East Asian medicine not only serves as a potential source of drug discovery, but also plays an important role in the healthcare systems of Korea, China, and Japan. Tandem mass spectrometry (MS/MS)-based untargeted metabolomics is a key methodology for high-throughput analysis of the complex chemical compositions of medicinal plants used in traditional East Asian medicine. This Data Descriptor documents the deposition to a public repository of a re-analyzable raw LC-MS/MS dataset of 337 medicinal plants listed in the Korean Pharmacopeia, in addition to a reference spectral library of 223 phytochemicals isolated from medicinal plants. Enhanced by recently developed repository-level data analysis pipelines, this information can serve as a reference dataset for MS/MS-based untargeted metabolomic analysis of plant specialized metabolites.
    MeSH term(s) Chromatography, Liquid ; Medicine, East Asian Traditional ; Metabolome ; Metabolomics ; Plants, Medicinal ; Tandem Mass Spectrometry
    Language English
    Publishing date 2022-08-27
    Publishing country England
    Document type Dataset ; Journal Article
    ZDB-ID 2775191-0
    ISSN 2052-4463 ; 2052-4463
    ISSN (online) 2052-4463
    ISSN 2052-4463
    DOI 10.1038/s41597-022-01662-2
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  4. Article ; Online: Tandem Mass Spectrometry Molecular Networking as a Powerful and Efficient Tool for Drug Metabolism Studies.

    Yu, Jun Sang / Nothias, Louis-Félix / Wang, Mingxun / Kim, Dong Hyun / Dorrestein, Pieter C / Kang, Kyo Bin / Yoo, Hye Hyun

    Analytical chemistry

    2022  Volume 94, Issue 2, Page(s) 1456–1464

    Abstract: Molecular networking (MN) has become a popular data analysis method for untargeted mass spectrometry (MS)/MS-based metabolomics. Recently, MN has been suggested as a powerful tool for drug metabolite identification, but its effectiveness for drug ... ...

    Abstract Molecular networking (MN) has become a popular data analysis method for untargeted mass spectrometry (MS)/MS-based metabolomics. Recently, MN has been suggested as a powerful tool for drug metabolite identification, but its effectiveness for drug metabolism studies has not yet been benchmarked against existing strategies. In this study, we compared the performance of MN, mass defect filtering, Agilent MassHunter Metabolite ID, and Agilent Mass Profiler Professional workflows to annotate metabolites of sildenafil generated in an in vitro liver microsome-based metabolism study. Totally, 28 previously known metabolites with 15 additional unknown isomers and 25 unknown metabolites were found in this study. The comparison demonstrated that MN exhibited performances comparable or superior to those of the existing tools in terms of the number of detected metabolites (27 known metabolites and 22 unknown metabolites), ratio of false positives, and the amount of time and effort required for human labor-based postprocessing, which provided evidence of the efficiency of MN as a drug metabolite identification tool.
    MeSH term(s) Humans ; Metabolomics/methods ; Microsomes, Liver ; Tandem Mass Spectrometry/methods ; Workflow
    Language English
    Publishing date 2022-01-05
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 1508-8
    ISSN 1520-6882 ; 0003-2700
    ISSN (online) 1520-6882
    ISSN 0003-2700
    DOI 10.1021/acs.analchem.1c04925
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 4033: Show issues Location:
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  5. Article: Tandem Mass Spectrometry Molecular Networking as a Powerful and Efficient Tool for Drug Metabolism Studies

    Yu, Jun Sang / Nothias, Louis-Félix / Wang, Mingxun / Kim, Dong Hyun / Dorrestein, Pieter C. / Kang, Kyo Bin / Yoo, Hye Hyun

    Analytical chemistry. 2022 Jan. 05, v. 94, no. 2

    2022  

    Abstract: Molecular networking (MN) has become a popular data analysis method for untargeted mass spectrometry (MS)/MS-based metabolomics. Recently, MN has been suggested as a powerful tool for drug metabolite identification, but its effectiveness for drug ... ...

    Abstract Molecular networking (MN) has become a popular data analysis method for untargeted mass spectrometry (MS)/MS-based metabolomics. Recently, MN has been suggested as a powerful tool for drug metabolite identification, but its effectiveness for drug metabolism studies has not yet been benchmarked against existing strategies. In this study, we compared the performance of MN, mass defect filtering, Agilent MassHunter Metabolite ID, and Agilent Mass Profiler Professional workflows to annotate metabolites of sildenafil generated in an in vitro liver microsome-based metabolism study. Totally, 28 previously known metabolites with 15 additional unknown isomers and 25 unknown metabolites were found in this study. The comparison demonstrated that MN exhibited performances comparable or superior to those of the existing tools in terms of the number of detected metabolites (27 known metabolites and 22 unknown metabolites), ratio of false positives, and the amount of time and effort required for human labor-based postprocessing, which provided evidence of the efficiency of MN as a drug metabolite identification tool.
    Keywords analytical chemistry ; drugs ; humans ; liver ; metabolites ; metabolomics ; pharmacokinetics ; tandem mass spectrometry
    Language English
    Dates of publication 2022-0105
    Size p. 1456-1464.
    Publishing place American Chemical Society
    Document type Article
    ZDB-ID 1508-8
    ISSN 1520-6882 ; 0003-2700
    ISSN (online) 1520-6882
    ISSN 0003-2700
    DOI 10.1021/acs.analchem.1c04925
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    In stock of ZB MED Bonn / Germany

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  6. Article ; Online: Identification and Semi-Synthesis of 3-

    Lim, Changjin / Park, Jung Gyu / Kang, Kyo Bin / Suh, Young-Ger

    Molecules (Basel, Switzerland)

    2019  Volume 24, Issue 19

    Abstract: The identification and three step synthesis of 3- ...

    Abstract The identification and three step synthesis of 3-
    MeSH term(s) Animals ; CHO Cells ; Chemistry Techniques, Synthetic ; Cricetulus ; Humans ; Ligands ; Molecular Structure ; Receptors, G-Protein-Coupled/agonists ; Receptors, G-Protein-Coupled/chemistry ; Recombinant Proteins ; Structure-Activity Relationship ; Triterpenes/chemical synthesis ; Triterpenes/pharmacology
    Chemical Substances FFAR4 protein, human ; Ligands ; Receptors, G-Protein-Coupled ; Recombinant Proteins ; Triterpenes
    Language English
    Publishing date 2019-09-26
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules24193487
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    Zs.MO 81: Show issues

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  7. Article ; Online: Molecular Networking Reveals the Chemical Diversity of Selaginellin Derivatives, Natural Phosphodiesterase-4 Inhibitors from

    Woo, Sunmin / Kang, Kyo Bin / Kim, Jinwoong / Sung, Sang Hyun

    Journal of natural products

    2019  Volume 82, Issue 7, Page(s) 1820–1830

    Abstract: Selaginellins are unique pigments found in the ... ...

    Abstract Selaginellins are unique pigments found in the genus
    MeSH term(s) Molecular Docking Simulation ; Nuclear Magnetic Resonance, Biomolecular ; Phosphodiesterase 4 Inhibitors/isolation & purification ; Phosphodiesterase 4 Inhibitors/pharmacology ; Selaginellaceae/chemistry ; Tandem Mass Spectrometry
    Chemical Substances Phosphodiesterase 4 Inhibitors
    Language English
    Publishing date 2019-06-21
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 304325-3
    ISSN 1520-6025 ; 0163-3864
    ISSN (online) 1520-6025
    ISSN 0163-3864
    DOI 10.1021/acs.jnatprod.9b00049
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1144: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (1.OG)
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  8. Article: Mass spectrometry-based ginsenoside profiling: Recent applications, limitations, and perspectives.

    Kim, Hyun Woo / Kim, Dae Hyun / Ryu, Byeol / Chung, You Jin / Lee, Kyungha / Kim, Young Chang / Lee, Jung Woo / Kim, Dong Hwi / Jang, Woojong / Cho, Woohyeon / Shim, Hyeonah / Sung, Sang Hyun / Yang, Tae-Jin / Kang, Kyo Bin

    Journal of ginseng research

    2024  Volume 48, Issue 2, Page(s) 149–162

    Abstract: Ginseng, the roots ... ...

    Abstract Ginseng, the roots of
    Language English
    Publishing date 2024-01-19
    Publishing country Korea (South)
    Document type Journal Article ; Review
    ZDB-ID 2765273-7
    ISSN 2093-4947 ; 1226-8453
    ISSN (online) 2093-4947
    ISSN 1226-8453
    DOI 10.1016/j.jgr.2024.01.004
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  9. Article ; Online: Comparative transcriptome and metabolome analyses of four Panax species explore the dynamics of metabolite biosynthesis

    Koo, Hyunjin / Lee, Yun Sun / Nguyễn, Văn Bình / Giang, Vo Ngoc Linh / Koo, Hyun Jo / Park, Hyun-Seung / Mohanan, Padmanaban / Song, Young Hun / Ryu, Byeol / Kang, Kyo Bin / Sung, Sang Hyun / Yang, Tae-Jin

    Journal of Ginseng Research. 2023 Jan., v. 47, no. 1 p.44-53

    2023  

    Abstract: The genus Panax in the Araliaceae family has been used as traditional medicinal plants worldwide and is known to biosynthesize ginsenosides and phytosterols. However, genetic variation between Panax species has influenced their biosynthetic pathways is ... ...

    Abstract The genus Panax in the Araliaceae family has been used as traditional medicinal plants worldwide and is known to biosynthesize ginsenosides and phytosterols. However, genetic variation between Panax species has influenced their biosynthetic pathways is not fully understood. Simultaneous analysis of transcriptomes and metabolomes obtained from adventitious roots of two tetraploid species (Panax ginseng and P. quinquefolius) and two diploid species (P. notoginseng and P. vietnamensis) revealed the diversity of their metabolites and related gene expression profiles. The transcriptome analysis showed that 2,3-OXIDOSQUALENE CYCLASEs (OSCs) involved in phytosterol biosynthesis are upregulated in the diploid species, while the expression of OSCs contributing to ginsenoside biosynthesis is higher in the tetraploid species. In agreement with these results, the contents of dammarenediol-type ginsenosides were higher in the tetraploid species relative to the diploid species. These results suggest that a whole-genome duplication event has influenced the triterpene biosynthesis pathway in tetraploid Panax species during their evolution or ecological adaptation. This study provides a basis for further efforts to explore the genetic variation of the Panax genus.
    Keywords Panax ginseng ; biosynthesis ; diploidy ; evolution ; gene expression ; genetic variation ; ginsenosides ; metabolites ; metabolome ; phytosterols ; research ; tetraploidy ; transcriptome ; transcriptomics ; Adventitious root ; De novo assembly ; Oxidosqualene cyclase ; Panax species ; Specialized metabolite profiling
    Language English
    Dates of publication 2023-01
    Size p. 44-53.
    Publishing place Elsevier B.V.
    Document type Article ; Online
    Note Pre-press version ; Use and reproduction
    ZDB-ID 2765273-7
    ISSN 2093-4947 ; 1226-8453
    ISSN (online) 2093-4947
    ISSN 1226-8453
    DOI 10.1016/j.jgr.2022.07.001
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  10. Article ; Online: Correction: Genetic and chemical markers for authentication of three Artemisia species: A. capillaris, A. gmelinii, and A. fukudo.

    Lee, Yun Sun / Woo, Sunmin / Kim, Jin-Kyung / Park, Jee Young / Izzah, Nur Kholilatul / Park, Hyun-Seung / Kang, Jung Hwa / Lee, Taek Joo / Sung, Sang Hyun / Kang, Kyo Bin / Yang, Tae-Jin

    PloS one

    2023  Volume 18, Issue 10, Page(s) e0293767

    Abstract: This corrects the article DOI: 10.1371/journal.pone.0264576.]. ...

    Abstract [This corrects the article DOI: 10.1371/journal.pone.0264576.].
    Language English
    Publishing date 2023-10-26
    Publishing country United States
    Document type Published Erratum
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0293767
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