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Accurate prediction of cellular co-translational folding indicates proteins can switch from post- to co-translational folding

机译:细胞共翻译折叠的准确预测表明蛋白质可以从后翻译折叠转变为共翻译

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The rates at which domains fold and codons are translated are important factors in determining whether a nascent protein will co-translationally fold and function or misfold and malfunction. Here we develop a chemical kinetic model that calculates a protein domain’s co-translational folding curve during synthesis using only the domain’s bulk folding and unfolding rates and codon translation rates. We show that this model accurately predicts the course of co-translational folding measured in vivo for four different protein molecules. We then make predictions for a number of different proteins in yeast and find that synonymous codon substitutions, which change translation-elongation rates, can switch some protein domains from folding post-translationally to folding co-translationally—a result consistent with previous experimental studies. Our approach explains essential features of co-translational folding curves and predicts how varying the translation rate at different codon positions along a transcript’s coding sequence affects this self-assembly process.
机译:结构域折叠和密码子翻译的速率是确定新生蛋白质是否将共同翻译折叠和发挥功能或错折叠和发生故障的重要因素。在这里,我们开发了一种化学动力学模型,该模型仅使用蛋白质结构域的整体折叠和解折叠速率以及密码子翻译率来计算蛋白质域的共翻译折叠曲线。我们显示该模型可以准确预测体内四个不同蛋白质分子的共翻译折叠过程。然后,我们对酵母中的许多不同蛋白质进行了预测,发现同义密码子替换可改变翻译延伸率,可以将某些蛋白质结构域从翻译后折叠转换为翻译后折叠,这一结果与之前的实验研究一致。我们的方法解释了共翻译折叠曲线的基本特征,并预测了沿转录本编码序列在不同密码子位置上的翻译速率变化如何影响该自组装过程。

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