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Sequence determinants of protein folding rates: Positive correlation between contact energy and contact range indicates selection for fast folding

机译:蛋白质折叠速率的序列决定因素:接触能量和接触范围之间的正相关表明选择快速折叠

摘要

In comparison with intense investigation of the structural determinants of protein folding rates, the sequence features favoring fast folding have received little attention. Here, we investigate this subject using simple models of protein folding and a statistical analysis of the Protein Data Bank (PDB). The mean-field model by Plotkin and coworkers predicts that the folding rate is accelerated by stronger-than-average interactions at short distance along the sequence. We confirmed this prediction using the Finkelstein model of protein folding, which accounts for realistic features of polymer entropy. We then tested this prediction on the PDB. We found that native interactions are strongest at contact range l = 8. However, since short range contacts tend to be exposed and they are frequently formed in misfolded structures, selection for folding stability tends to make them less attractive, that is, stability and kinetics may have contrasting requirements. Using a recently proposed model, we predicted the relationship between contact range and contact energy based on buriedness and contact frequency. Deviations from this prediction induce a positive correlation between contact range and contact energy, that is, short range contacts are stronger than expected, for 2/3 of the proteins. This correlation increases with the absolute contact order (ACO), as expected if proteins that tend to fold slowly due to large ACO are subject to stronger selection for sequence features favoring fast folding. Our results suggest that the selective pressure for fast folding is detectable only for one third of the proteins in the PDB, in particular those with large contact order. © 2012 Wiley Periodicals, Inc.
机译:与深入研究蛋白质折叠速率的结构决定因素相比,有利于快速折叠的序列特征很少受到关注。在这里,我们使用蛋白质折叠的简单模型和蛋白质数据库(PDB)的统计分析来研究这个主题。 Plotkin及其同事的平均场模型预测,沿序列在短距离内比平均水平强的相互作用会加快折叠速率。我们使用Finkelstein蛋白质折叠模型确认了这一预测,该模型解释了聚合物熵的现实特征。然后,我们在PDB上测试了此预测。我们发现,自然相互作用在接触范围l = 8处最强。但是,由于短距离接触倾向于暴露,并且它们经常以错误折叠的结构形成,因此选择折叠稳定性往往会使它们的吸引力降低,即稳定性和动力学可能有不同的要求。使用最近提出的模型,我们根据掩埋度和接触频率预测了接触范围和接触能之间的关系。与该预测的偏差会导致接触范围和接触能量之间呈正相关,也就是说,对于2/3的蛋白质,短距离接触比预期的要强。这种相关性随绝对接触顺序(ACO)的增加而增加,这是预期的,如果由于较大的ACO而趋于缓慢折叠的蛋白质受到更有利于快速折叠的序列特征的选择。我们的结果表明,对于PDB中只有三分之一的蛋白质,特别是那些接触顺序较大的蛋白质,可以检测到快速折叠的选择性压力。 ©2012 Wiley Periodicals,Inc.

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