Chakravorty Debamitra, Khan Mohd Faheem, Patra Sanjukta
Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India.
Extremophiles. 2017 May;21(3):419-444. doi: 10.1007/s00792-016-0908-9. Epub 2017 Mar 10.
Research on extremostable proteins has seen immense growth in the past decade owing to their industrial importance. Basic research of attributes related to extreme-stability requires further exploration. Modern mechanistic approaches to engineer such proteins in vitro will have more impact in industrial biotechnology economy. Developing a priori knowledge about the mechanism behind extreme-stability will nurture better understanding of pathways leading to protein molecular evolution and folding. This review is a vivid compilation about all classes of extremostable proteins and the attributes that lead to myriad of adaptations divulged after an extensive study of 6495 articles belonging to extremostable proteins. Along with detailing on the rationale behind extreme-stability of proteins, emphasis has been put on modern approaches that have been utilized to render proteins extremostable by protein engineering. It was understood that each protein shows different approaches to extreme-stability governed by minute differences in their biophysical properties and the milieu in which they exist. Any general rule has not yet been drawn regarding adaptive mechanisms in extreme environments. This review was further instrumental to understand the drawback of the available 14 stabilizing mutation prediction algorithms. Thus, this review lays the foundation to further explore the biophysical pleiotropy of extreme-stable proteins to deduce a global prediction model for predicting the effect of mutations on protein stability.
由于其工业重要性,在过去十年中,对极端稳定蛋白的研究取得了巨大进展。与极端稳定性相关属性的基础研究仍需进一步探索。在体外对这类蛋白进行工程改造的现代机制方法,将对工业生物技术经济产生更大影响。深入了解极端稳定性背后的机制,将有助于更好地理解导致蛋白质分子进化和折叠的途径。这篇综述生动地汇编了所有类型的极端稳定蛋白,以及在对6495篇关于极端稳定蛋白的文章进行广泛研究后所揭示的导致无数适应性变化的属性。在详细阐述蛋白质极端稳定性背后的原理的同时,重点介绍了通过蛋白质工程使蛋白质变得极端稳定的现代方法。研究发现,每种蛋白质都通过其生物物理性质和所处环境的微小差异,展现出不同的极端稳定性实现方式。目前尚未得出关于极端环境中适应性机制的通用规则。这篇综述还有助于了解现有的14种稳定突变预测算法的缺陷。因此,这篇综述为进一步探索极端稳定蛋白的生物物理多效性奠定了基础,以推导一个用于预测突变对蛋白质稳定性影响的全局预测模型。