| A New Approach to Characterization of Insulin Derived from Different Species Using (1)H-NMR Coupled with Multivariate Analysis. | |
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MedLine Citation:
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PMID: 22382411 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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Most of the active components of polypeptides have a complex molecular structure, large molecular size. Such components may also be structurally heterogeneous. Therefore, development of a method that can confirm the consistency of polypeptides amino-acid sequences for product characterization is desirable. In general, it is extremely difficult to distinguish differences of a few amino acid residues in the (1)H-NMR spectrum of polypeptides with molecular weights greater than several thousand. However, we have been able to distinguish between three insulin species differing in one to three amino acid residues using a combination of multivariate statistics and (1)H-NMR spectra. These results demonstrate that this methodology could be useful for characterization of polypeptides. |
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Authors:
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Akiko Ohno; Toru Kawanishi; Haruhiro Okuda; Kiyoshi Fukuhara |
Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Chemical & pharmaceutical bulletin Volume: 60 ISSN: 1347-5223 ISO Abbreviation: Chem. Pharm. Bull. Publication Date: 2012 |
Date Detail:
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Created Date: 2012-03-02 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0377775 Medline TA: Chem Pharm Bull (Tokyo) Country: Japan |
Other Details:
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Languages: eng Pagination: 320-4 Citation Subset: IM |
Affiliation:
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Division of Organic Chemistry, National Institute of Health Sciences. |
Export Citation:
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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