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蛋白质稳定性预测:一种泊松-玻尔兹曼方法。

Protein stability prediction: a Poisson-Boltzmann approach.

作者信息

Tan Yu-Hong, Luo Ray

机构信息

Department of Molecular Biology and Biochemistry, University of California, Irvine, CA 92697-3900, USA.

出版信息

J Phys Chem B. 2008 Feb 14;112(6):1875-83. doi: 10.1021/jp709660v. Epub 2008 Jan 23.

Abstract

Most proteins are only marginally stable at physiological temperatures. Thus a common defect due to mutation is the loss of protein stability, resulting in loss of their well-defined structures and functions at their functioning temperatures. Quantification of protein stability change upon mutation has attracted a large number of experimental and theoretical studies. In this work, we have extended the Poisson-Boltzmann theory that is originally used for predicting stability changes of charged mutations to predicting stability changes of all mutations. To achieve this, we have proposed a free energy model covering both electrostatic and hydrophobic interactions. A Gõ-like model for the denatured state that incorporates both nativeness and randomness of the denatured state has been used to calculate the hydrophobic contribution to protein stability. The new model is computationally simple and fast, and performs well for charged and hydrophobic mutations for all four tested proteins. Future directions for extending the method into pH-dependent effect and more accurate prediction for polar mutations are discussed.

摘要

大多数蛋白质在生理温度下仅具有一定的稳定性。因此,突变导致的一个常见缺陷是蛋白质稳定性丧失,从而在其功能温度下失去其明确的结构和功能。对突变引起的蛋白质稳定性变化进行量化已吸引了大量的实验和理论研究。在这项工作中,我们将最初用于预测带电突变稳定性变化的泊松-玻尔兹曼理论扩展到预测所有突变的稳定性变化。为实现这一目标,我们提出了一个涵盖静电和疏水相互作用的自由能模型。一种用于变性状态的类似Gõ的模型,该模型结合了变性状态的天然性和随机性,已被用于计算疏水作用对蛋白质稳定性的贡献。新模型计算简单且快速,并且对所有四种测试蛋白质的带电和疏水突变均表现良好。文中还讨论了将该方法扩展到pH依赖性效应以及对极性突变进行更准确预测的未来方向。

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