蛋白质工程
理论(学习稳定性)
蛋白质稳定性
序列(生物学)
计算生物学
计算机科学
蛋白质测序
蛋白质设计
合理设计
蛋白质超家族
系统发育树
蛋白质结构
生物
肽序列
机器学习
遗传学
生物化学
基因
酶
作者
Peter G. Chandler,Sebastian S. Broendum,Blake T. Riley,Matthew A. Spence,Colin J. Jackson,Sheena McGowan,Ashley M. Buckle
标识
DOI:10.1007/978-1-4939-9869-2_10
摘要
The stability of wild-type proteins is often a hurdle to their practical use in research, industry, and medicine. The route to engineering stability of a protein of interest lies largely with the available data. Where high-resolution structural data is available, rational design, based on fundamental principles of protein chemistry, can improve protein stability. Recent advances in computational biology and the use of nonnatural amino acids have also provided novel rational methods for improving protein stability. Likewise, the explosion of sequence and structural data available in public databases, in combination with improvements in freely available computational tools, has produced accessible phylogenetic approaches. Trawling modern sequence databases can identify the thermostable homologs of a target protein, and evolutionary data can be quickly generated using available phylogenetic tools. Grafting features from those thermostable homologs or ancestors provides stability improvement through a semi-rational approach. Further, molecular techniques such as directed evolution have shown great promise in delivering designer proteins. These strategies are well documented and newly accessible to the molecular biologist, allowing for rapid enhancements of protein stability.
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