| SE Authors
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Nakabayashi, R., Tsugawa, H.,Mori, T. and Saito, K.
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| SE Description
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Introduction<br />
Sulfur-containing … Introduction<br />
Sulfur-containing metabolites (S-metabolites) in organisms including plants have unique benefits to humans. So far, few analytical methods have explored such metabolites.<br />
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Objectives<br />
We aimed to develop an automatic chemically assigning platform by metabolomics and chemoinformatics with 34S labeling to identify the molecular formula of S-metabolites.<br />
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Results<br />
We identified 35 molecular formulae for known S-metabolites and characterized 72 for unknown. Chemoinformatics required around 1.5 min to analyze a pair of the non-labeled and 34S-labeled data of the organ.<br />
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Conclusion<br />
In this study, we developed an automation platform for automatically identifying the presence of S-metabolites. We identified the molecular formula of known S-metabolites, which are accessible in free databases, together with that of unknown. This analytical method did not focus on identifying the structure of S-metabolites, but on the automatic identification of their molecular formula. identification of their molecular formula.
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| SE ID
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TSE1330 +
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| SE Reference
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Metabolomics, November 2016, 12:168, DOI: 10.1007/s11306-016-1115-5
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| SE Title
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Automation of chemical assignment for identifying molecular formula of S-containing metabolites by combining metabolomics and chemoinformatics with 34S labeling +
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| Modification dateThis property is a special property in this wiki.
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7 June 2018 07:18:53 +
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