Departments of Biochemistry & Molecular Biology and Chemistry, University of Massachusetts-Amherst, Amherst, Massachusetts, 01003.
Department of Mathematics, Clarkson University, Potsdam, New York, 13699.
Protein Sci. 2019 Jul;28(7):1324-1339. doi: 10.1002/pro.3639. Epub 2019 May 24.
The effect of mutations in individual proteins on protein homeostasis, or "proteostasis," can in principle depend on the mutations' effects on the thermodynamics or kinetics of folding, or both. Here, we explore this issue using a computational model of in vivo protein folding that we call FoldEcoSlim. Our model predicts that kinetic versus thermodynamic control of mutational effects on proteostasis hinges on the relationship between how fast a protein's folding reaction reaches equilibrium and a critical time scale that characterizes the lifetime of a protein in its environment: for rapidly dividing bacteria, this time scale is that of cell division; for proteins that are produced in heterologous expression systems, this time scale is the amount of time before the protein is harvested; for proteins that are synthesized in and then exported from the eukaryotic endoplasmic reticulum, this time scale is that of protein secretion, and so forth. This prediction was validated experimentally by examining the expression yields of the wild type and several destabilized mutants of a model protein, the mouse ortholog of cellular retinoic acid-binding protein 1.
个体蛋白质突变对蛋白质平衡或“蛋白质稳态”的影响原则上取决于突变对折叠热力学或动力学的影响,或者两者兼而有之。在这里,我们使用我们称之为 FoldEcoSlim 的体内蛋白质折叠计算模型来探讨这个问题。我们的模型预测,突变对蛋白质稳定性影响的动力学控制与热力学控制取决于蛋白质折叠反应达到平衡的速度与蛋白质在其环境中的寿命的关键时间尺度之间的关系:对于快速分裂的细菌,这个时间尺度是细胞分裂的时间;对于在异源表达系统中产生的蛋白质,这个时间尺度是在收获蛋白质之前的时间;对于在真核内质网中合成然后输出的蛋白质,这个时间尺度是蛋白质分泌的时间,等等。这一预测通过实验验证,通过研究模型蛋白(细胞视黄酸结合蛋白 1 的小鼠同源物)的野生型和几种失稳突变体的表达产量来验证。