Recent developments in engineering protein-protein interactions using phage display.

IF 2.6 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Protein Engineering Design & Selection Pub Date : 2021-02-15 DOI:10.1093/protein/gzab014
Chen T Liang, Olivia M A Roscow, Wei Zhang
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引用次数: 5

Abstract

Targeted inhibition of misregulated protein-protein interactions (PPIs) has been a promising area of investigation in drug discovery and development for human diseases. However, many constraints remain, including shallow binding surfaces and dynamic conformation changes upon interaction. A particularly challenging aspect is the undesirable off-target effects caused by inherent structural similarity among the protein families. To tackle this problem, phage display has been used to engineer PPIs for high-specificity binders with improved binding affinity and greatly reduced undesirable interactions with closely related proteins. Although general steps of phage display are standardized, library design is highly variable depending on experimental contexts. Here in this review, we examined recent advances in the structure-based combinatorial library design and the advantages and limitations of different approaches. The strategies described here can be explored for other protein-protein interactions and aid in designing new libraries or improving on previous libraries.

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利用噬菌体展示技术工程蛋白-蛋白相互作用的最新进展。
靶向抑制失调蛋白-蛋白相互作用(PPIs)已成为人类疾病药物发现和开发的一个有前途的研究领域。然而,仍然存在许多限制,包括浅结合面和相互作用时的动态构象变化。一个特别具有挑战性的方面是由蛋白质家族之间固有的结构相似性引起的不良脱靶效应。为了解决这个问题,噬菌体展示已经被用于设计高特异性结合物的PPIs,提高了结合亲和力,大大减少了与密切相关蛋白的不良相互作用。虽然噬菌体展示的一般步骤是标准化的,但文库的设计是高度可变的,这取决于实验环境。在本文中,我们研究了基于结构的组合库设计的最新进展以及不同方法的优点和局限性。这里描述的策略可以用于探索其他蛋白质-蛋白质相互作用,并有助于设计新的文库或改进以前的文库。
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.
期刊最新文献
TIMED-Design: flexible and accessible protein sequence design with convolutional neural networks. Correction to: De novo design of a polycarbonate hydrolase. Interactive computational and experimental approaches improve the sensitivity of periplasmic binding protein-based nicotine biosensors for measurements in biofluids. Design of functional intrinsically disordered proteins. The shortest path method (SPM) webserver for computational enzyme design.
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