化学
溶解度
蛋白质设计
蛋白质稳定性
跨膜蛋白
理论(学习稳定性)
计算机科学
生化工程
蛋白质结构
机器学习
工程类
生物化学
有机化学
受体
作者
Rui Qing,Shilei Hao,Eva Smorodina,David Jin,Arthur O. Zalevsky,Shuguang Zhang
出处
期刊:Chemical Reviews
[American Chemical Society]
日期:2022-08-03
卷期号:122 (18): 14085-14179
被引量:117
标识
DOI:10.1021/acs.chemrev.1c00757
摘要
Water solubility and structural stability are key merits for proteins defined by the primary sequence and 3D-conformation. Their manipulation represents important aspects of the protein design field that relies on the accurate placement of amino acids and molecular interactions, guided by underlying physiochemical principles. Emulated designer proteins with well-defined properties both fuel the knowledge-base for more precise computational design models and are used in various biomedical and nanotechnological applications. The continuous developments in protein science, increasing computing power, new algorithms, and characterization techniques provide sophisticated toolkits for solubility design beyond guess work. In this review, we summarize recent advances in the protein design field with respect to water solubility and structural stability. After introducing fundamental design rules, we discuss the transmembrane protein solubilization and de novo transmembrane protein design. Traditional strategies to enhance protein solubility and structural stability are introduced. The designs of stable protein complexes and high-order assemblies are covered. Computational methodologies behind these endeavors, including structure prediction programs, machine learning algorithms, and specialty software dedicated to the evaluation of protein solubility and aggregation, are discussed. The findings and opportunities for Cryo-EM are presented. This review provides an overview of significant progress and prospects in accurate protein design for solubility and stability.
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