自由能成分分析如何解释氨基酸取代引起的蛋白质稳定性差异?第56个残基3个疏水突变对溶菌酶稳定性的影响。

Jun Funahashi, Yuji Sugita, Akio Kitao, Katsuhide Yutani
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引用次数: 19

摘要

为了阐明热稳定性的分子机制,有必要确定哪些主要的自由能成分对氨基酸突变引起的总自由能差有重要贡献。本文采用全原子分子动力学模拟的方法计算了溶菌酶的自由能,研究了I56A、I56V和I56F三个相同位置的疏水突变对溶菌酶的影响。在所有情况下,计算的自由能差与实验值吻合较好。从自由能成分分析中,我们发现I56A和I56V突变体的稳定性变化源于近程Lennard-Jones相互作用,而I56F突变体的稳定性变化主要是由于远程静电相互作用的变化。并将计算结果与基于本态结构和热力学数据的经验关系式确定的自由能分量进行了比较。虽然这种关系已经被证明非常成功地再现了几种蛋白质中各种氨基酸取代引起的稳定性变化,但I56V和I56F突变体的稳定性变化并没有很好地再现。通过比较这两种方法计算的自由能分量,我们发现,当突变引起的结构变化相对较小时,如I56F,在经验关系中,远程相互作用对稳定性变化的影响可能被低估。此外,如果变性状态下突变位点周围的结构类似于原生结构,则可能高估了可达表面积δ δ taasa的变化,这将导致对I56V情况下自由能变化的高估。我们的研究结果清楚地表明,基于全原子分子动力学模拟的自由能计算与经验关系的结合方法对于理解蛋白质稳定性的详细机制是非常有用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How can free energy component analysis explain the difference in protein stability caused by amino acid substitutions? Effect of three hydrophobic mutations at the 56th residue on the stability of human lysozyme.

To elucidate the molecular mechanism of thermal stability, it is essential to determine what are the major free energy components that contribute significantly to the total free energy difference caused by amino acid mutations. In this work, we carried out free energy calculations based on all-atom molecular dynamics simulations to investigate the effect of three hydrophobic mutations at the same position, I56A, I56V and I56F of human lysozyme. The calculated free energy differences are in good agreement with the experimental values in all cases. From free energy component analysis, we found that small changes in stability in the I56A and I56V mutants originate from the short-range Lennard-Jones interactions, whereas the I56F mutant is largely destabilized owing to the changes in the long-range electrostatic interactions. The calculated results are also compared with the free energy components determined by an empirical relationship based on the native-state structure and thermodynamic data. Although this relationship has been shown to be very successful in reproducing the stability changes caused by various amino acid substitutions in several proteins, the changes of stability in I56V and I56F mutants are not reproduced very well. By comparing the free energy components calculated by these two approaches, we showed that the effect of the long-range interaction on the stability changes may be underestimated in the empirical relationships when the structural change caused by mutation is relatively small, as in I56F. It is also suggested that estimation of the change in accessible surface area, deltadeltaASA, may be overestimated if the structure around the mutation site in the denatured state is native-like, which would cause overestimation of the free energy change as in the case of I56V. Our results clearly show that the combined approach of the free energy calculation based on the all-atom molecular dynamics simulation and the empirical relationships is very useful for understanding the detailed mechanism of protein stability.

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