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Protein Melting Temperature Cannot Fully Assess Whether Protein Folding Free Energy Underlies the Universal Abundance-Evolutionary Rate Correlation Seen in Proteins

机译:蛋白质熔解温度无法完全评估蛋白质折叠自由能是否是蛋白质中普遍存在的丰度-进化速率相关性的基础

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摘要

The protein misfolding avoidance hypothesis explains the universal negative correlation between protein abundance and sequence evolutionary rate across the proteome by identifying protein folding free energy (Delta G) as the confounding variable. Abundant proteins resist toxic misfolding events by being more stable, and more stable proteins evolve slower because their mutations are more destabilizing. Direct supporting evidence consists only of computer simulations. A study taking advantage of a recent experimental breakthrough in measuring protein stability proteome-wide through melting temperature (T-m) (Leuenberger et al. 2017), found weak misfolding avoidance hypothesis support for the Escherichia coli proteome, and no support for the Saccharomyces cerevisiae, Homo sapiens, and Thermus thermophilus proteomes (Plata and Vitkup 2018). I find that the nontrivial relationship between T-m and Delta G and inaccuracy in T-m measurements by Leuenberger et al. 2017 can be responsible for not observing strong positive abundance-T-m and strong negative T-m-evolutionary rate correlations.
机译:蛋白质错误折叠回避假说通过将蛋白质折叠自由能 (Delta G) 确定为混杂变量来解释蛋白质丰度与蛋白质组序列进化速率之间的普遍负相关。丰富的蛋白质通过更稳定来抵抗有毒的错误折叠事件,而更稳定的蛋白质进化得更慢,因为它们的突变更不稳定。直接支持证据仅包括计算机模拟。一项利用最近通过熔解温度 (T-m) 测量蛋白质稳定性蛋白质组的实验突破的研究(Leuenberger 等人,2017 年),发现对大肠杆菌蛋白质组的错误折叠回避假说支持较弱,而对酿酒酵母、智人和嗜热热菌蛋白质组没有支持(Plata 和 Vitkup 2018)。我发现 T-m 和 Delta G 之间的非平凡关系以及 Leuenberger 等人 2017 年 T-m 测量的不准确可能是没有观察到强正丰度-T-m 和强负 T-m 进化速率相关性的原因。

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