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首页> 外文期刊>Journal of proteome research >Charge and Hydrophobicity Patterning along the Sequence Predicts the Folding Mechanism and Aggregation of Proteins:A Computational Approach
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Charge and Hydrophobicity Patterning along the Sequence Predicts the Folding Mechanism and Aggregation of Proteins:A Computational Approach

机译:沿序列的电荷和疏水性模式预测蛋白质的折叠机制和聚集:一种计算方法

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摘要

The presence of partially folded intermediates along the folding funnel of proteins has been suggested to be a signature of potentially aggregating systems.Many studies have concluded that metastable,highly flexible intermediates are the basic elements of the aggregation process.In a previous paper,we demonstrated how the choice between aggregation and folding behavior was influenced by hydrophobicity distribution patterning along the sequence,as quantified by recurrence quantification analysis(RQA)of the Myiazawa-Jernigan coded primary structures.In the present paper,we tried to unify the"partially folded intermediate"and"hydrophobicity/charge"models of protein aggregation verifying the ability of an empirical relation,developed for rationalizing the effect of different mutations on aggregation propensity of acyl-phosphatase and based on the combination of hydrophobicity RQA and charge descriptors,to discriminate in a statistically significant way two different protein populations:(a)proteins that fold by a process passing by partially folded intermediates and(b)proteins that do not present partially folded intermediates.
机译:有人认为,沿着蛋白质折叠漏斗存在部分折叠的中间体是潜在聚集系统的标志。许多研究得出结论,亚稳,高度灵活的中间体是聚集过程的基本要素。在先前的论文中,我们证明了Myiazawa-Jernigan编码的一级结构的递归定量分析(RQA)量化了沿序列的疏水性分布模式如何影响聚集和折叠行为之间的选择。本文试图统一“部分折叠的中间体蛋白质聚集的“和“疏水性/电荷”模型验证了经验关系的能力,是为了合理化不同突变对酰基磷酸酶聚集倾向的影响而开发的,并基于疏水性RQA和电荷描述子的组合来区分具有统计学意义的两种不同蛋白质群体:(a)在经过部分折叠的中间体的过程中折叠的蛋白质和(b)不存在部分折叠的中间体的蛋白质。

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