Mangiferin as a potential inhibitor of transthyretin fibrillogenesis

IF 3 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Journal of molecular graphics & modelling Pub Date : 2025-06-01 Epub Date: 2025-03-08 DOI:10.1016/j.jmgm.2025.109007
Grudinina N.A , Petukhov M.G , Sokolov A.V , Shaldzhyan A.A , Zabrodskaya Y.A , Gavrilova N.V , Morozkina S.N , Egorov V.V
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Abstract

By using in silico molecular docking, we predicted a high potential of mangiferin to inhibit transthyretin amyloidogenesis. Subsequently, we tested this prediction in an in vitro system. The study involved testing effect of mangiferrin in a system that included isolated and purified recombinant transthyretin under fibrillogenesis conditions and a detection assay based on the fluorescent dye thioflavin T, characteristic of amyloid fibrils. The conditions for fibrillogenesis of this protein at neutral pH values were established. Using the developed test system, it was shown that mangiferin is able to inhibit abnormal transthyretin fibrillogenesis.

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芒果苷作为转甲状腺素纤维形成的潜在抑制剂
通过硅分子对接,我们预测芒果苷具有抑制转甲状腺素淀粉样变的高潜力。随后,我们在体外系统中测试了这一预测。该研究包括检测芒果铁蛋白在纤维形成条件下的作用,该系统包括分离和纯化的重组甲状腺素,以及基于淀粉样纤维特征的荧光染料硫黄素T的检测分析。建立了该蛋白在中性pH值下纤维形成的条件。利用所开发的测试系统,表明芒果苷能够抑制异常甲状腺素转甲状腺素纤维形成。
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来源期刊
Journal of molecular graphics & modelling
Journal of molecular graphics & modelling 生物-计算机:跨学科应用
CiteScore
5.50
自引率
6.90%
发文量
216
审稿时长
35 days
期刊介绍: The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design. As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.
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