Unravelling the Complexity of Amyloid Peptide Core Interfaces

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL Journal of Chemical Information and Modeling Pub Date : 2024-10-29 DOI:10.1021/acs.jcim.4c01479
Máté Sulyok-Eiler, Veronika Harmat, András Perczel
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Abstract

Amyloids, large intermolecular sandwiched β-sheet structures, underlie several protein misfolding diseases but have also been shown to have functional roles and can be a basis for designing smart and responsive nanomaterials. Short segments of proteins, called aggregation-prone regions (APRs), have been identified that nucleate amyloid formation. Here we present the database of 173 APR crystal structures currently available in the PDB, and a tool, ACW, for analyzing their topologies and the 267 inter-β-sheet interfaces of zipper regions assigned in these structures. We defined a new descriptor of zipper interfaces, the surface detail index (SDi), which quantifies the intertwining between the side chains of both β-sheets of the zipper, an important factor for the molecular recognition and self-assembly of these mesostructures. This allowed a comparative analysis of the zipper interfaces and identification of 6 clusters with different intertwining, steric fit, and size characteristics using three complementary descriptors, SDi, shape complementarity, and buried surface area. 60% of the APR structures are formed by parallel β-sheets, of which 52% belong to the topological class 1. This could be explained by the better fit and a deeper entanglement of the zipper regions of the parallel structures than of the antiparallel structures, as the analysis showed that both their shape complementarity (0.79 vs 0.70) and SDi (1.53 vs 1.32) were higher. The higher abundance of certain residues (Asn and Gln in parallel and Leu and Ala in antiparallel β-sheets) can be explained by their ability to form different ladder-like secondary interaction patterns within β-sheets. Analogous to the hierarchy of protein structure, we interpreted the primary, secondary, tertiary, and quaternary structure levels of APRs revealing different characteristics of the zipper regions for both parallel and antiparallel β-sheet structures, which may provide clues to the structural conditions of amyloid core formation and the rational design of amyloid polymorphs.

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揭示淀粉样肽核心界面的复杂性
淀粉样蛋白是大分子间夹层β片状结构,是多种蛋白质错误折叠疾病的根源,但也被证明具有功能性作用,可作为设计智能响应纳米材料的基础。目前已发现一些短小的蛋白质片段,称为易聚集区域(APR),它们是淀粉样蛋白形成的核心。在此,我们介绍了目前可从 PDB 中获得的 173 个 APR 晶体结构数据库,以及用于分析其拓扑结构和这些结构中指定的 267 个拉链区域的β片间界面的工具 ACW。我们定义了一种新的拉链界面描述符--表面细节指数(SDi),它量化了拉链两个 β 片侧链之间的交织,这是分子识别和这些介观结构自组装的一个重要因素。这使得我们可以对拉链界面进行比较分析,并利用三个互补描述因子(SDi、形状互补性和埋藏表面积)识别出 6 个具有不同交织、立体配合和尺寸特征的簇。60% 的 APR 结构由平行的 β 片构成,其中 52% 属于拓扑类别 1。分析表明,平行结构的形状互补性(0.79 对 0.70)和 SDi(1.53 对 1.32)均高于反平行结构,这可能是因为平行结构的拉链区域比反平行结构的拉链区域拟合得更好,缠结得更深。某些残基(平行结构中的 Asn 和 Gln 以及反平行结构中的 Leu 和 Ala)的丰度较高,这是因为它们能够在 β 片层中形成不同的梯状二级相互作用模式。类似于蛋白质结构的层次结构,我们对 APR 的一级、二级、三级和四级结构层次进行了解读,发现平行和反平行 β 片结构的拉链区域具有不同的特征,这可能为淀粉样核心形成的结构条件和淀粉样多态性的合理设计提供了线索。
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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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