Frappier Vincent, Najmanovich Rafael
Department of Biochemistry, Faculty of Medicine and Health Sciences, University of Sherbrooke, J1H 5N4, Quebec, Canada.
Protein Sci. 2015 Apr;24(4):474-83. doi: 10.1002/pro.2592. Epub 2014 Nov 5.
We recently introduced ENCoM, an elastic network atomic contact model, as the first coarse-grained normal mode analysis method that accounts for the nature of amino acids and can predict the effect of mutations on thermostability based on changes vibrational entropy. In this proof-of-concept article, we use pairs of mesophile and thermophile homolog proteins with identical structures to determine if a measure of vibrational entropy based on normal mode analysis can discriminate thermophile from mesophile proteins. We observe that in around 60% of cases, thermophile proteins are more rigid at equivalent temperatures than their mesophile counterpart and this difference can guide the design of proteins to increase their thermostability through series of mutations. We observe that mutations separating thermophile proteins from their mesophile orthologs contribute independently to a decrease in vibrational entropy and discuss the application and implications of this methodology to protein engineering.
我们最近引入了ENCoM,一种弹性网络原子接触模型,作为第一种考虑氨基酸性质的粗粒度正常模式分析方法,它可以基于振动熵的变化预测突变对热稳定性的影响。在这篇概念验证文章中,我们使用具有相同结构的嗜温菌和嗜热菌同源蛋白对,来确定基于正常模式分析的振动熵测量是否能够区分嗜热菌蛋白和嗜温菌蛋白。我们观察到,在大约60%的情况下,嗜热菌蛋白在等效温度下比其嗜温菌对应物更刚性,这种差异可以指导通过一系列突变来设计蛋白质以提高其热稳定性。我们观察到,将嗜热菌蛋白与其嗜温菌直系同源物区分开的突变独立地导致振动熵的降低,并讨论了这种方法在蛋白质工程中的应用和意义。