4.8 Article

Co-assembled Supramolecular Gel of Dipeptide and Pyridine Derivatives with Controlled Chirality

期刊

ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
卷 60, 期 4, 页码 2099-2103

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/anie.202012470

关键词

amyloid fibers; chirality; co-assembly; dipeptides; supramolecular gels

资金

  1. National Natural Science Foundation of China [21961142022]
  2. China Postdoctoral Science Foundation [BX20190333, 2019M660804]

向作者/读者索取更多资源

This study successfully obtained supramolecular gels with a transition from amyloid-like beta-sheet to different supramolecular helices through co-assembly of a specific core recognition motif, revealing the vital roles of the microenvironment of chiral carbon and different stacking modes of additives in the chiral transfer or amplification of L-FmocFF. The dynamic process of helix formation was captured, providing a convenient co-assembly method to explore the structure basis of A beta fibrils with controlled chirality.
It is commonly considered that amyloid-beta (A beta) fibrils are heavily involved in the neurological diseases. Establishing an external model based on the core recognition motif (diphenylalanine, FF) of A beta would be of significance in understanding the assembly and disassembly of A beta fibrils in living system. Herein, supramolecular gels with structure transition from amyloid-like beta-sheet to different supramolecular helices were obtained through the co-assembly of a N-fluorenylmethoxycarbonyl-protected L-FF (L-FmocFF) with achiral pyridine derivatives. It is found that the different stacking modes (H- or J-aggregates) of additives and the microenvironment of chiral carbon play vital roles for the selectively chiral transfer or amplification of L-FmocFF. The dynamic process of helix formation was also captured. This work provides a convenient co-assembly way to explore the structure basis of A beta fibrils with a controlled chirality.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据