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Linking SIRT1 Variants to Metabolic and Cardiovascular Phenotypes: Insights from Population Genetics and In Silico Structural Analysis

Title: Linking SIRT1 Variants to Metabolic and Cardiovascular Phenotypes: Insights from Population Genetics and In Silico Structural Analysis
Authors: Grebenshchikov, Eugene S.; Pravednikova, Anna E.; Bezsonov, Evgeny E.; Kudryavtsev, Denis S.; Larina, Svetlana N.; Shidlovskii, Yulii V.
Contributors: This study was supported by the Russian Science Foundation
Source: Cell Biochemistry and Biophysics ; ISSN 1559-0283
Publisher Information: Springer Science and Business Media LLC
Publication Year: 2025
Document Type: article in journal/newspaper
Language: English
DOI: 10.1007/s12013-025-01903-2
DOI: 10.1007/s12013-025-01903-2.pdf
DOI: 10.1007/s12013-025-01903-2/fulltext.html
Availability: https://doi.org/10.1007/s12013-025-01903-2; https://link.springer.com/content/pdf/10.1007/s12013-025-01903-2.pdf; https://link.springer.com/article/10.1007/s12013-025-01903-2/fulltext.html
Rights: https://www.springernature.com/gp/researchers/text-and-data-mining ; https://www.springernature.com/gp/researchers/text-and-data-mining
Accession Number: edsbas.227D7A73
Database: BASE