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Sunmi Kang

Researcher at Seoul National University

Publications -  41
Citations -  724

Sunmi Kang is an academic researcher from Seoul National University. The author has contributed to research in topics: Calmodulin & Binding site. The author has an hindex of 12, co-authored 39 publications receiving 670 citations. Previous affiliations of Sunmi Kang include Inha University.

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A new NMR-based metabolomics approach for the diagnosis of biliary tract cancer

TL;DR: The NMR-based metabolomics approach provides good performance in discriminating cancer and benign biliary duct diseases and the excellent predictability of the method suggests that it can, at least, augment the currently available diagnostic approaches.
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NMR-based metabolomics approach for the differentiation of ginseng (Panax ginseng) roots from different origins.

TL;DR: The approach can be applied to detecting the adulteration of ginseng root powders and other herbal products from different origins.
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Application of a 1H nuclear magnetic resonance (NMR) metabolomics approach combined with orthogonal projections to latent structure-discriminant analysis as an efficient tool for discriminating between Korean and Chinese herbal medicines.

TL;DR: A nuclear magnetic resonance-based metabolomics approach combined with an orthogonal projections to latent structure-discriminant analysis (OPLS-DA) multivariate analysis yielded a statistical model that could cleanly discriminate between the sample groups even in the presence of large structured noise.
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Synthesis of (Ti, M1, M2)(CN)–Ni nanocrystalline powders

TL;DR: In this article, the preparation of nanocrystalline (Ti, M 1, M 2 )-Ni powders from various mixtures of oxides was described, which involved mechanical alloying, carbo-thermal reduction and nitridation.
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Predicting idiopathic toxicity of cisplatin by a pharmacometabonomic approach

TL;DR: A working model is provided that can explain the idiopathic toxicity mechanism based on marker metabolites found by NMR analysis consistent with tissue NADH measurements and may help expedite personalized chemotherapy of anticancer drugs.