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设计基于蛋白质分子的对称组合材料的完整规则集。

A complete rule set for designing symmetry combination materials from protein molecules.

机构信息

Molecular Biology Institute, University of California, Los Angeles, CA 90095.

Molecular Biology Institute, University of California, Los Angeles, CA 90095;

出版信息

Proc Natl Acad Sci U S A. 2020 Dec 15;117(50):31817-31823. doi: 10.1073/pnas.2015183117. Epub 2020 Nov 25.

Abstract

Diverse efforts in protein engineering are beginning to produce novel kinds of symmetric self-assembling architectures, from protein cages to extended two-dimensional (2D) and three-dimensional (3D) crystalline arrays. Partial theoretical frameworks for creating symmetric protein materials have been introduced, but no complete system has been articulated. Only a minute fraction of the possible design space has been explored experimentally, in part because that space has not yet been described in theory. Here, in the form of a multiplication table, we lay out a complete rule set for materials that can be created by combining two chiral oligomeric components (e.g., proteins) in precise configurations. A unified system is described for parameterizing and searching the construction space for all such symmetry-combination materials (SCMs). In total, 124 distinct types of SCMs are identified, and then proven by computational construction. Mathematical properties, such as minimal ring or circuit size, are established for each case, enabling strategic predictions about potentially favorable design targets. The study lays out the theoretical landscape and detailed computational prescriptions for a rapidly growing area of protein-based nanotechnology, with numerous underlying connections to mathematical networks and chemical materials such as metal organic frameworks.

摘要

蛋白质工程领域的各种努力正在开始产生新型对称自组装结构,从蛋白质笼到二维(2D)和三维(3D)晶体阵列。已经引入了用于创建对称蛋白质材料的部分理论框架,但尚未阐明完整的系统。由于该空间尚未在理论上进行描述,因此仅在实验上探索了可能设计空间的一小部分。在这里,我们以乘法表的形式,为通过将两种手性寡聚组件(例如蛋白质)以精确构型组合而创建的材料制定了完整的规则集。描述了一个用于参数化和搜索所有此类对称组合材料(SCM)构建空间的统一系统。总共确定了 124 种不同类型的 SCM,然后通过计算构建进行了证明。为每种情况建立了数学性质,例如最小环或电路尺寸,从而可以对潜在有利的设计目标进行策略预测。该研究为基于蛋白质的纳米技术这一日益增长的领域勾勒出了理论格局和详细的计算方案,与数学网络以及金属有机框架等化学材料有许多潜在联系。

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