基于片段的对称组装蛋白质界面设计算法。

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/gzab008
Joshua Laniado, Kyle Meador, Todd O Yeates
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引用次数: 0

摘要

蛋白质工程学在理论和实验方面取得的进展,使人们能够创造出精确定义的、具有巨大尺寸和复杂性的新型蛋白质组合体,并将其应用于多种领域。一种强有力的方法是在两个较简单的对称低聚物蛋白质成分之间设计一个新的连接或结合界面。所需的设计方法与蛋白质对接中的问题既有相似之处,也有主要区别,但仍然具有挑战性,而且尚未成为常规方法。为了更充分地推动蛋白质材料工程这一新兴领域的发展,我们开发了一个名为 "纳米对角线"(nanohedra)的计算机程序,并取得了两项重要进展。首先,我们在程序中编码了所有可能的对称材料构造的构造规则(即搜索空间参数)。其次,我们根据已知蛋白质片段对关联的经验模式,开发了快速识别有利对接/界面排列的算法。因此,纳米面体为随后的氨基酸界面设计生成的候选姿势看起来非常像原生姿势(在蛋白质骨架层面),同时又符合基于对称性组装的严格要求。通过对成功与失败的实验研究进行回顾性计算分析,我们预计这将提高蛋白质工程这一具有挑战性领域的成功率。
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A fragment-based protein interface design algorithm for symmetric assemblies.

Theoretical and experimental advances in protein engineering have led to the creation of precisely defined, novel protein assemblies of great size and complexity, with diverse applications. One powerful approach involves designing a new attachment or binding interface between two simpler symmetric oligomeric protein components. The required methods of design, which present both similarities and key differences compared to problems in protein docking, remain challenging and are not yet routine. With the aim of more fully enabling this emerging area of protein material engineering, we developed a computer program, nanohedra, to introduce two key advances. First, we encoded in the program the construction rules (i.e. the search space parameters) that underlie all possible symmetric material constructions. Second, we developed algorithms for rapidly identifying favorable docking/interface arrangements based on tabulations of empirical patterns of known protein fragment-pair associations. As a result, the candidate poses that nanohedra generates for subsequent amino acid interface design appear highly native-like (at the protein backbone level), while simultaneously conforming to the exacting requirements for symmetry-based assembly. A retrospective computational analysis of successful vs failed experimental studies supports the expectation that this should improve the success rate for this challenging area of protein engineering.

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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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