Barnett B L, Turner C B
Procter & Gamble Co., Miami Valley Laboratories, Cincinnati, OH 45239-8707, USA.
Adv Exp Med Biol. 1996;379:121-31. doi: 10.1007/978-1-4613-0319-0_13.
The inability to predict the effect of specific mutations on protein stability has been an area of concern to researchers in the field of protein engineering. Small stabilization free energies (5 to 15 kcal/mol) distinguish the native and the denatured states of a protein, making the rational design of protein stability a difficult challenge. Free Energy Perturbation Technique (FEPT) appears to be a method that will be important for protein engineering to meet this challenge. Not only is it a method to evaluate potential sites for mutation prior to synthesis, it identifies important atomic contributions that are responsible for the free energy changes of interest. Accuracy and speed are the principal limitations of the technique, but the powerful combination of structure, energy, dynamics and solvent make the investment of time and effort very attractive. Our examples illustrate both the power and limitations of FEPT. Using the program CHARMm, FEPT has been applied to the well known stabilizing mutations--asparagine to Serine--at residue 218 in subtilisin BPN'. In analyzing the atomic contributions that result in the increase in stability, two mutations at residue 203 were chosen to test the predictive power of FEPT. Sometimes extraordinary measures must be undertaken to sample sufficient conformational space to achieve accurate FEPT results. However we believe the method will be invaluable in the development of rules for designing a more stable subtilisin BPN'.
无法预测特定突变对蛋白质稳定性的影响一直是蛋白质工程领域研究人员关注的一个问题。较小的稳定自由能(5至15千卡/摩尔)区分了蛋白质的天然状态和变性状态,这使得蛋白质稳定性的合理设计成为一项艰巨的挑战。自由能微扰技术(FEPT)似乎是一种对蛋白质工程应对这一挑战至关重要的方法。它不仅是一种在合成前评估潜在突变位点的方法,还能识别引起感兴趣的自由能变化的重要原子贡献。准确性和速度是该技术的主要局限,但结构、能量、动力学和溶剂的强大组合使得投入时间和精力非常值得。我们的例子说明了FEPT的强大功能和局限性。使用CHARMm程序,FEPT已应用于枯草杆菌蛋白酶BPN'中218位残基处著名的稳定突变——天冬酰胺突变为丝氨酸。在分析导致稳定性增加的原子贡献时,选择了203位残基处的两个突变来测试FEPT的预测能力。有时必须采取特殊措施来采样足够的构象空间以获得准确的FEPT结果。然而,我们相信该方法在制定设计更稳定的枯草杆菌蛋白酶BPN'的规则方面将具有极高的价值。