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Dynamical Phase Transitions Reveal Amyloid-like States on Protein Folding Landscapes.

机译:动态相变揭示了蛋白质折叠景观上的淀粉样状态。

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Developing an understanding of protein misfolding processes presents a crucial challenge for unlocking the mysteries of human disease. In this article, we present our observations of β-sheet-rich misfolded states on a number of protein dynamical landscapes investigated through molecular dynamics simulation and Markov state models. We employ a nonequilibrium statistical mechanical theory to identify the glassy states in a protein's dynamics, and we discuss the nonnative, β-sheet-rich states that play a distinct role in the slowest dynamics within seven protein folding systems. We highlight the fundamental similarity between these states and the amyloid structures responsible for many neurodegenerative diseases, and we discuss potential consequences for mechanisms of protein aggregation and intermolecular amyloid formation.
机译:对蛋白质错误折叠过程的理解提出了解锁人类疾病奥秘的关键挑战。在本文中,我们通过分子动力学模拟和马尔可夫状态模型研究了许多蛋白质动力学景观上富含β-折叠的错折叠状态的观察结果。我们采用非平衡统计力学理论来识别蛋白质动力学中的玻璃态,并且讨论了非天然,富含β-折叠的状态,它们在七个蛋白质折叠系统中最慢的动力学中起着独特的作用。我们强调了这些状态与负责许多神经退行性疾病的淀粉样蛋白结构之间的基本相似性,并讨论了蛋白质聚集和分子间淀粉样蛋白形成机制的潜在后果。

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