The stability and dynamics of computationally designed proteins.

IF 2.6 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Natali A Gonzalez, Brigitte A Li, Michelle E McCully
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引用次数: 0

Abstract

Protein stability, dynamics and function are intricately linked. Accordingly, protein designers leverage dynamics in their designs and gain insight to their successes and failures by analyzing their proteins' dynamics. Molecular dynamics (MD) simulations are a powerful computational tool for quantifying both local and global protein dynamics. This review highlights studies where MD simulations were applied to characterize the stability and dynamics of designed proteins and where dynamics were incorporated into computational protein design. First, we discuss the structural basis underlying the extreme stability and thermostability frequently observed in computationally designed proteins. Next, we discuss examples of designed proteins, where dynamics were not explicitly accounted for in the design process, whose coordinated motions or active site dynamics, as observed by MD simulation, enhanced or detracted from their function. Many protein functions depend on sizeable or subtle conformational changes, so we finally discuss the computational design of proteins to perform a specific function that requires consideration of motion by multi-state design.

Abstract Image

Abstract Image

计算设计蛋白质的稳定性和动力学。
蛋白质的稳定性、动力学和功能之间有着错综复杂的联系。因此,蛋白质设计者在设计中要充分利用动力学,并通过分析蛋白质的动力学来了解设计的成败。分子动力学(MD)模拟是量化局部和全局蛋白质动力学的强大计算工具。本综述重点介绍了应用 MD 模拟表征所设计蛋白质的稳定性和动态性的研究,以及将动态性纳入计算蛋白质设计的研究。首先,我们讨论了在计算设计蛋白质中经常观察到的极端稳定性和热稳定性的结构基础。接下来,我们将讨论一些设计蛋白质的实例,这些蛋白质在设计过程中没有明确考虑动力学因素,但通过 MD 模拟观察到,它们的协调运动或活性位点动力学增强或减弱了它们的功能。许多蛋白质的功能依赖于可观或微妙的构象变化,因此我们最后将讨论蛋白质的计算设计,以实现需要通过多态设计考虑运动的特定功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Protein Engineering Design & Selection
Protein Engineering Design & Selection 生物-生化与分子生物学
CiteScore
3.30
自引率
4.20%
发文量
14
审稿时长
6-12 weeks
期刊介绍: Protein Engineering, Design and Selection (PEDS) publishes high-quality research papers and review articles relevant to the engineering, design and selection of proteins for use in biotechnology and therapy, and for understanding the fundamental link between protein sequence, structure, dynamics, function, and evolution.
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