Computational Biomolecular Dynamics Group, Max-Planck-Institute for Biophysical Chemistry, Göttingen, Germany.
Biophys J. 2010 May 19;98(10):2309-16. doi: 10.1016/j.bpj.2010.01.051.
Thermal stability of proteins is crucial for both biotechnological and therapeutic applications. Rational protein engineering therefore frequently aims at increasing thermal stability by introducing stabilizing mutations. The accurate prediction of the thermodynamic consequences caused by mutations, however, is highly challenging as thermal stability changes are caused by alterations in the free energy of folding. Growing computational power, however, increasingly allows us to use alchemical free energy simulations, such as free energy perturbation or thermodynamic integration, to calculate free energy differences with relatively high accuracy. In this article, we present an automated protocol for setting up alchemical free energy calculations for mutations of naturally occurring amino acids (except for proline) that allows an unprecedented, automated screening of large mutant libraries. To validate the developed protocol, we calculated thermodynamic stability differences for 109 mutations in the microbial Ribonuclease Barnase. The obtained quantitative agreement with experimental data illustrates the potential of the approach in protein engineering and design.
蛋白质的热稳定性对于生物技术和治疗应用都至关重要。因此,理性的蛋白质工程经常通过引入稳定突变来提高热稳定性。然而,准确预测突变引起的热力学后果极具挑战性,因为热稳定性的变化是由折叠自由能的改变引起的。随着计算能力的不断提高,我们越来越多地可以使用基于“加和”原理的自由能模拟方法,如自由能微扰或热力学积分,以相对较高的精度计算自由能差异。在本文中,我们提出了一种用于天然存在的氨基酸(脯氨酸除外)突变的加和自由能计算的自动化方案,该方案允许对大型突变文库进行前所未有的自动化筛选。为了验证所开发方案的有效性,我们计算了微生物核糖核酸酶 Barnase 中 109 个突变的热力学稳定性差异。与实验数据的定量一致性表明了该方法在蛋白质工程和设计中的潜力。