肽抑制剂对β淀粉样蛋白原纤维的抑制和降解。

IF 2.9 2区 化学 Q3 CHEMISTRY, PHYSICAL The Journal of Physical Chemistry B Pub Date : 2025-02-13 Epub Date: 2025-02-02 DOI:10.1021/acs.jpcb.4c07144
Abdul Majid, Sanjeev Garg
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引用次数: 0

摘要

异常β淀粉样蛋白(a β)以斑块的形式聚集并在人类神经细胞中沉积是阿尔茨海默病的主要标志。Aβ聚集动力学,更重要的是,各种药物抑制原纤维聚集或降解成熟原纤维的作用,一直是一个活跃的研究领域。大分子(肽基)抑制剂,如十肽(RYYAAFFARR)和五肽(LPFFD),对淀粉样蛋白原纤维具有抑制/降解作用。在此,我们提出了一个数学模型。该模型模拟了Aβ聚集和肽抑制剂对Aβ纤颤的抑制/降解作用。通过对实验数据进行曲线拟合,调整模型参数。该模型用于预测不同初始剂量/原纤维浓度下的实验数据。模型预测结果与报道的实验数据吻合较好,证明了模型在分子水平上的适用性。模型参数对纤维浓度的敏感性分析进一步建立了模型的鲁棒性。
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Inhibition and Degradation of Amyloid Beta Fibrils by Peptide Inhibitors.

Abnormal amyloid beta (Aβ) aggregation in the form of plaques and its deposition across the human nerve cells are a major hallmark of Alzheimer's disease. Aβ aggregation dynamics and, more importantly, various drugs' effects, either to inhibit the fibril aggregation or to degrade the mature fibrils, have been an area of active research. Large molecule (peptide-based) inhibitors, such as decapeptide (RYYAAFFARR) and pentapeptide (LPFFD), show inhibition/degradation effects on amyloid beta fibrils. Herein, a mathematical model has been proposed. The model simulates Aβ aggregation and inhibitory/degradative action of peptide inhibitors on Aβ fibrillation. Model parameters are tuned by curve fitting the experimental data. The tuned model is used to predict experimental data at different initial dose/fibril concentrations. Model predicted results are observed to be in good agreement with the reported experimental data, demonstrating model's applicability at the molecular level. Sensitivity analyses of the model parameters on the fibril concentration further establish the robustness of the proposed model.

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来源期刊
CiteScore
5.80
自引率
9.10%
发文量
965
审稿时长
1.6 months
期刊介绍: An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.
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