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蛋白质聚集体在热力学上会发生有序化,而与序列无关。

Protein aggregates thermodynamically order regardless of sequence.

作者信息

Nielsen Aleksandra W, Sari Levent, Fraser Rowan, Lin Milo M

机构信息

Green Center for Systems Biology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.

出版信息

Proteins. 2023 May;91(5):705-711. doi: 10.1002/prot.26460. Epub 2023 Jan 9.

Abstract

Proteins can aggregate into disordered aggregates or ordered assemblies such as amyloid fibrils. These two distinct phases serve differing roles in function and disease. How protein sequence determines the preferred phase is unknown. Here we establish a statistical mechanical disorder-to-order transition condition for compact polymer aggregates, including proteins. The theory produces a simple universal equation determining the favored phase as a function of temperature, polymer length, and interaction energy variance. We show that the sequence-dependent energy variance is efficiently calculated using atomistic simulations, so that the theory has no adjustable parameters. The equation accurately predicts experimental length-dependent crystallization temperatures of synthetic polymers. The equation also predicts that all protein sequences that aggregate will also favor ordering. Consequently, energy must be expended to maintain the steady-state disordered phase if it is not kinetically metastable on physiological timescales. More broadly, the theory suggests that aggregates of organic polymers will generally tend to order on habitable planets.

摘要

蛋白质可聚集成无序聚集体或有序聚集体,如淀粉样纤维。这两个不同阶段在功能和疾病中发挥着不同作用。蛋白质序列如何决定偏好的阶段尚不清楚。在此,我们为包括蛋白质在内的致密聚合物聚集体建立了一个统计力学无序到有序的转变条件。该理论得出一个简单的通用方程,可根据温度、聚合物长度和相互作用能方差确定偏好的相。我们表明,使用原子模拟可以有效地计算序列依赖的能量方差,因此该理论没有可调参数。该方程准确预测了合成聚合物实验中长度依赖的结晶温度。该方程还预测,所有聚集的蛋白质序列也会倾向于有序化。因此,如果在生理时间尺度上不是动力学亚稳态,就必须消耗能量来维持稳态无序相。更广泛地说,该理论表明,有机聚合物聚集体在宜居行星上通常会倾向于有序化。

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