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蛋白质晶体的稳定性。

The stabilities of protein crystals.

机构信息

Department of Pharmaceutical Chemistry, University of California at San Francisco, San Francisco, California 94158, USA.

出版信息

J Phys Chem B. 2010 Mar 25;114(11):4020-7. doi: 10.1021/jp9107188.

Abstract

We describe a model for protein crystallization equilibria. The model includes four terms, (1) protein translational entropy opposes crystallization, (2) proteins are attracted to each other by a nonelectrostatic contact free energy favoring crystallization, (3) proteins in the crystal repel each other but, to a greater extent, attract counterions sequestered in the crystal, which favors crystallization, and (4) the translational entropy of the counterions opposes their sequestration into the crystal, opposing crystallization. We treat the electrostatics using the nonlinear Poisson-Boltzmann equation, and we use unit cell information from native protein crystals to determine the boundary conditions. This model predicts the stabilities of protein crystals as functions of temperature, pH, and salt concentrations, in good agreement with the data of Pusey et al. on tetragonal and orthorhombic crystal forms of lysozyme. The experiments show a weak dependence of crystal solubility on pH. According to the model, this is because the entropic cost to neutralize the crystal is compensated by favorable protein-salt interactions. Experiments also show that adding salt stabilizes the crystal. Cohn's empirical law predicts that the logarithm of solubility should be a linear function of salt. The present theory predicts nonlinearity, in better agreement with the experiments. The model shows that the salting out phenomena is not due to more counterion shielding but to lowered counterion translational entropy. Models of this type may help guide faster and better ways to crystallize proteins.

摘要

我们描述了一个蛋白质结晶平衡的模型。该模型包含四个项,(1)蛋白质的平移熵阻碍结晶,(2)蛋白质之间通过非静电接触自由能相互吸引,有利于结晶,(3)晶体中的蛋白质相互排斥,但更吸引被隔离在晶体中的抗衡离子,这有利于结晶,(4)抗衡离子的平移熵反对它们被隔离在晶体中,反对结晶。我们使用非线性泊松-玻尔兹曼方程来处理静电,并且使用来自天然蛋白质晶体的晶胞信息来确定边界条件。该模型预测了蛋白质晶体在温度、pH 和盐浓度下的稳定性,与 Pusey 等人关于溶菌酶的四方和正交晶型的实验数据吻合较好。实验表明晶体溶解度对 pH 的依赖性较弱。根据该模型,这是因为中和晶体的熵成本被有利的蛋白质-盐相互作用所补偿。实验还表明,添加盐可以稳定晶体。Cohn 的经验法则预测溶解度的对数应该是盐的线性函数。本理论预测了非线性,与实验更吻合。该模型表明,盐析现象不是由于更多的抗衡离子屏蔽,而是由于抗衡离子平移熵降低。这种类型的模型可能有助于指导更快更好的蛋白质结晶方法。

相似文献

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The stabilities of protein crystals.蛋白质晶体的稳定性。
J Phys Chem B. 2010 Mar 25;114(11):4020-7. doi: 10.1021/jp9107188.
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Growth rates of protein crystals.蛋白质晶体的生长速度。
J Am Chem Soc. 2012 Mar 7;134(9):3934-7. doi: 10.1021/ja207336r. Epub 2012 Feb 23.
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Solvent entropy contribution to the free energy of protein crystallization.溶剂熵对蛋白质结晶自由能的贡献。
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引用本文的文献

8
Growth rates of protein crystals.蛋白质晶体的生长速度。
J Am Chem Soc. 2012 Mar 7;134(9):3934-7. doi: 10.1021/ja207336r. Epub 2012 Feb 23.

本文引用的文献

3
Phase knowledge enables rational screens for protein crystallization.相知识有助于对蛋白质结晶进行合理筛选。
Proc Natl Acad Sci U S A. 2006 Nov 7;103(45):16746-51. doi: 10.1073/pnas.0605293103. Epub 2006 Oct 30.
6
Orthorhombic lysozyme solubility.正交晶系溶菌酶的溶解度。
Acta Crystallogr D Biol Crystallogr. 1994 Jul 1;50(Pt 4):424-8. doi: 10.1107/S0907444993014428.
7
Predicting protein crystallization from a dilute solution property.从稀溶液性质预测蛋白质结晶。
Acta Crystallogr D Biol Crystallogr. 1994 Jul 1;50(Pt 4):361-5. doi: 10.1107/S0907444994001216.

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