基质上蛋白质聚集体形成的热力学模型

IF 4.033 Q4 Biochemistry, Genetics and Molecular Biology
E. O. Vasilenko, S. A. Kozin, V. A. Mitkevich, A. S. Buchelnikov, Yu. D. Nechipurenko
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引用次数: 0

摘要

摘要病理性蛋白质聚集体的形成与许多神经退行性疾病有关。在某些情况下,配体可通过在基质上的多层吸附形成聚集体;例如,膜蛋白受体组可作为基质。我们建立了一个热力学模型来描述配体叠加形成的线性聚集体。该模型考虑了相同类型或两种不同类型的复合物形成堆积的情况。该模型可用于研究各种蛋白质的病理聚集,主要是淀粉样β及其异构体。计算了聚集体大小理论分布的均值、方差和熵。并与淀粉样蛋白聚集体形成的其他理论模型进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Thermodynamic Model of the Formation of Protein Aggregates on a Matrix

A Thermodynamic Model of the Formation of Protein Aggregates on a Matrix

A Thermodynamic Model of the Formation of Protein Aggregates on a Matrix

The formation of pathological protein aggregates is associated with many neurodegenerative diseases. The aggregates can form by multilayer adsorption of ligands on a matrix in some cases; for example, the set of membrane protein receptors may act as a matrix. A thermodynamic model was developed to describe the formation of linear aggregates in which ligands are stacked. Cases where complexes of the same type or two different types form the stacks are considered. The model can be used to study pathological aggregation of various proteins and, primarily, amyloid β and its isoforms. The mean, variance, and entropy were calculated for a theoretical distributions of aggregate sizes. A comparison was made with other theoretical models of the formation of amyloid aggregates.

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来源期刊
Biophysics
Biophysics Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
1.20
自引率
0.00%
发文量
67
期刊介绍: Biophysics is a multidisciplinary international peer reviewed journal that covers a wide scope of problems related to the main physical mechanisms of processes taking place at different organization levels in biosystems. It includes structure and dynamics of macromolecules, cells and tissues; the influence of environment; energy transformation and transfer; thermodynamics; biological motility; population dynamics and cell differentiation modeling; biomechanics and tissue rheology; nonlinear phenomena, mathematical and cybernetics modeling of complex systems; and computational biology. The journal publishes short communications devoted and review articles.
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