Suppr超能文献

环糊精和杯芳烃两亲体共组装对异多价肽的识别可抑制淀粉样纤维的形成。

Heteromultivalent peptide recognition by co-assembly of cyclodextrin and calixarene amphiphiles enables inhibition of amyloid fibrillation.

机构信息

College of Chemistry, State Key Laboratory of Elemento-Organic Chemistry, Key Laboratory of Functional Polymer Materials, Ministry of Education, Nankai University, Tianjin, China.

Organic Chemistry Institute and Center for Soft Nanoscience (SoN), Westfälische Wilhelms-Universität Münster, Münster, Germany.

出版信息

Nat Chem. 2019 Jan;11(1):86-93. doi: 10.1038/s41557-018-0164-y. Epub 2018 Nov 19.

Abstract

Heteromultivalency, which involves the simultaneous interactions of more than one type of ligand with more than one type of receptor, is ubiquitous in living systems and provides a powerful strategy to improve the binding efficiency of heterotopic species such as proteins and membranes. However, the design and development of artificial heteromultivalent receptors is still challenging owing to tedious synthesis processes and the need for precise control over the spatial arrangement of the binding sites. Here, we have designed a heteromultivalent platform by co-assembling cyclodextrin and calixarene amphiphiles, so that two orthogonal, non-covalent binding sites are distributed on the surface of the co-assembly. Binding with model peptides shows a synergistic effect of the two receptors, (hetero)multivalency and self-adaptability. The co-assembly shows promise for inhibition of the fibrillation of amyloid-β peptides and the dissolution of amyloid-β fibrils, substantially reducing amyloid cytotoxicity. This self-assembled heteromultivalency concept is easily amenable to other ensembles and targets, so that versatile biomedical applications can be envisaged.

摘要

杂多价性,涉及一种以上配体与一种以上受体的同时相互作用,在生命系统中无处不在,为提高蛋白质和膜等异位物质的结合效率提供了一种强大的策略。然而,由于繁琐的合成过程和对结合位点空间排列的精确控制,人工杂多价受体的设计和开发仍然具有挑战性。在这里,我们通过共组装环糊精和杯芳烃两亲体设计了一个杂多价平台,使得两个正交的非共价结合位点分布在共组装体的表面。与模型肽的结合显示出两个受体(杂多价和自适应性)的协同作用。共组装体有望抑制淀粉样β肽的纤维化和淀粉样β纤维的溶解,显著降低淀粉样毒性。这种自组装的杂多价概念很容易适用于其他聚集体和靶标,因此可以设想出多种生物医学应用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验