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对蛋白质变性状态进行逼真建模,可精确计算蛋白质稳定性对pH值的依赖性。

Realistic modeling of the denatured states of proteins allows accurate calculations of the pH dependence of protein stability.

作者信息

Elcock A H

机构信息

Department of Pharmacology, University of California at San Diego, La Jolla, CA 92093-0365, USA.

出版信息

J Mol Biol. 1999 Dec 10;294(4):1051-62. doi: 10.1006/jmbi.1999.3305.

Abstract

Computational techniques based on continuum electrostatics treatments have been successful in predicting and interpreting the pKa values of ionizable amino acids in folded proteins. Despite this progress, efforts to reproduce the pH-dependence of protein stability have met with only limited success: agreement with experimental results has been only qualitative. It has been argued previously that the most likely reason for discrepancies is the presence of residual electrostatic interactions in the unfolded state, which cause pKa values to be shifted from their model compound values. Here we show that by constructing atomistic models of the unfolded state with a simple molecular mechanics protocol that uses the native state as a starting point, much improved reproduction of pH effects on protein stability can be obtained. In contrast, when a fully extended model of the unfolded state is used, no such improvement is obtained, a result that suggests that local interactions with residues nearby in the sequence are not sufficient to properly account for the pKa shifts in the unfolded state. In comparison to model compound values, the pKa values of acidic residues in "native-like" unfolded states are typically found to be shifted downwards by approximately 0.3 pH unit, in good agreement with the average downward shift deduced from experimental measurements. Given its success in the present situation, the protocol employed here for developing simple models of the unfolded state may prove useful in other computer simulation applications.

摘要

基于连续介质静电处理的计算技术已成功用于预测和解释折叠蛋白中可电离氨基酸的pKa值。尽管取得了这一进展,但重现蛋白质稳定性对pH的依赖性的努力仅取得了有限的成功:与实验结果的一致性仅为定性的。此前有人认为,差异最可能的原因是未折叠状态中存在残余静电相互作用,这导致pKa值偏离其模型化合物的值。在这里,我们表明,通过使用以天然状态为起点的简单分子力学协议构建未折叠状态的原子模型,可以大大改善对pH对蛋白质稳定性影响的重现。相比之下,当使用未折叠状态的完全伸展模型时,没有获得这样的改善,这一结果表明与序列中附近残基的局部相互作用不足以正确解释未折叠状态下的pKa位移。与模型化合物的值相比,“类天然”未折叠状态下酸性残基的pKa值通常会向下移动约0.3个pH单位,这与从实验测量得出的平均向下移动非常一致。鉴于其在当前情况下的成功,这里采用的用于开发未折叠状态简单模型的协议可能在其他计算机模拟应用中证明是有用的。

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