Effect of Zn2+ ions on the assembly of amylin oligomers: insight into the molecular mechanisms

文献情報

出版日 2016-07-06

DOI 10.1039/C6CP04105A

インパクトファクター 3.676

著者

原文を見る

要旨

Amylin is an endocrine hormone and is a member of the family of amyloid peptides and proteins that emerge as potential scaffolds by self-assembly processes. Zn2+ ions can bind to amylin peptides to form self-assembled Zn2+–amylin oligomers. In the current work the binding sites of Zn2+ ions in the self-assembled amylin oligomers at various concentrations of zinc have been investigated. Our results yield two conclusions. First, in the absence of Zn2+ ions polymorphic states (i.e. various classes of amylin oligomers) are obtained, but when Zn2+ ions bind to amylin peptides to form Zn2+–amylin oligomers, the polymorphism is decreased, i.e. Zn2+ ions bind only to specific classes of amylin. At low concentrations of Zn2+ ions the polymorphism is smaller than at high concentrations. Second, the structural features of the self-assembled amylin oligomers are not affected by the presence of Zn2+ ions. This study proposes new molecular mechanisms of the self-assembly of Zn2+–amylin oligomers.

掲載誌

Physical Chemistry Chemical Physics

CiteScore: 5.5

自己引用率: 10.3%

年間論文数: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.