Physics-based approach to extend a de novo TIM barrel with rationally designed helix-loop-helix motifs.

IF 2.6 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Protein Engineering Design & Selection Pub Date : 2023-01-21 DOI:10.1093/protein/gzad012
Sina Kordes, Julian Beck, Sooruban Shanmugaratnam, Merle Flecks, Birte Höcker
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Abstract

Computational protein design promises the ability to build tailor-made proteins de novo. While a range of de novo proteins have been constructed so far, the majority of these designs have idealized topologies that lack larger cavities which are necessary for the incorporation of small molecule binding sites or enzymatic functions. One attractive target for enzyme design is the TIM-barrel fold, due to its ubiquity in nature and capability to host versatile functions. With the successful de novo design of a 4-fold symmetric TIM barrel, sTIM11, an idealized, minimalistic scaffold was created. In this work, we attempted to extend this de novo TIM barrel by incorporating a helix-loop-helix motif into its βα-loops by applying a physics-based modular design approach using Rosetta. Further diversification was performed by exploiting the symmetry of the scaffold to integrate two helix-loop-helix motifs into the scaffold. Analysis with AlphaFold2 and biochemical characterization demonstrate the formation of additional α-helical secondary structure elements supporting the successful extension as intended.

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基于物理的方法,以合理设计的螺旋-环-螺旋图案扩展全新TIM桶。
计算蛋白质设计有望从头构建量身定制的蛋白质。虽然到目前为止已经构建了一系列从头蛋白质,但这些设计中的大多数都具有理想化的拓扑结构,缺乏引入小分子结合位点或酶功能所需的较大空腔。TIM桶折叠是酶设计的一个有吸引力的目标,因为它在自然界中无处不在,并且具有多种功能。随着4倍对称TIM管筒sTIM11的重新设计成功,一种理想化、极简主义的支架被创造出来。在这项工作中,我们试图通过使用罗塞塔应用基于物理的模块化设计方法,将螺旋-环-螺旋基序结合到其β-α-环中,来扩展这种全新的TIM枪管。通过利用支架的对称性将两个螺旋-环-螺旋基序整合到支架中,进行了进一步的多样化。用AlphaFold2进行的分析和生物化学表征表明,形成了额外的α-螺旋二级结构元件,支持了预期的成功延伸。
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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