A high-resolution α-glucosidase inhibition profiling for targeted identification of natural antidiabetic products from Lycopodiella cernua (L.) Pic. Serm and their inhibitory mechanism study.
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| Title: | A high-resolution α-glucosidase inhibition profiling for targeted identification of natural antidiabetic products from Lycopodiella cernua (L.) Pic. Serm and their inhibitory mechanism study. |
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| Authors: | Liu BR; School of Public Heath, North China University of Science and Technology, Tangshan, China., Shi XL; College of Chemistry and Technology, Hebei Agricultural University, Huanghua, China., Yan JK; College of Chemistry and Technology, Hebei Agricultural University, Huanghua, China., Zhao R; Pharmacy Department, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China. |
| Source: | Natural product research [Nat Prod Res] 2023 Nov-Dec; Vol. 37 (24), pp. 4099-4111. Date of Electronic Publication: 2023 Jan 29. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Taylor & Francis Health Sciences Country of Publication: England NLM ID: 101167924 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1478-6427 (Electronic) Linking ISSN: 14786419 NLM ISO Abbreviation: Nat Prod Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36710469 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A high-resolution α-glucosidase inhibition profiling for targeted identification of natural antidiabetic products from Lycopodiella cernua (L.) Pic. Serm and their inhibitory mechanism study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Liu+BR%22">Liu BR</searchLink>; School of Public Heath, North China University of Science and Technology, Tangshan, China.<br /><searchLink fieldCode="AU" term="%22Shi+XL%22">Shi XL</searchLink>; College of Chemistry and Technology, Hebei Agricultural University, Huanghua, China.<br /><searchLink fieldCode="AU" term="%22Yan+JK%22">Yan JK</searchLink>; College of Chemistry and Technology, Hebei Agricultural University, Huanghua, China.<br /><searchLink fieldCode="AU" term="%22Zhao+R%22">Zhao R</searchLink>; Pharmacy Department, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101167924%22">Natural product research</searchLink> [Nat Prod Res] 2023 Nov-Dec; Vol. 37 (24), pp. 4099-4111. <i>Date of Electronic Publication: </i>2023 Jan 29. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Taylor+%26+Francis+Health+Sciences%22">Taylor & Francis Health Sciences </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101167924 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1478-6427 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214786419%22">14786419 </searchLink><i>NLM ISO Abbreviation: </i>Nat Prod Res <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36710469 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/14786419.2023.2169860 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 4099 Titles: – TitleFull: A high-resolution α-glucosidase inhibition profiling for targeted identification of natural antidiabetic products from Lycopodiella cernua (L.) Pic. Serm and their inhibitory mechanism study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liu BR – PersonEntity: Name: NameFull: Shi XL – PersonEntity: Name: NameFull: Yan JK – PersonEntity: Name: NameFull: Zhao R IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: 2023 Nov-Dec Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1478-6427 Numbering: – Type: volume Value: 37 – Type: issue Value: 24 Titles: – TitleFull: Natural product research Type: main |
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