Molecular Machines made from Lasso Peptides
Molecular Machines made from Lasso Peptides
批准号:
427725459
负责人:
Dr. Hendrik V. Schröder
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Fellowships
财政年份:
2019
资助国家:
德国
项目状态:
已结题
起止时间:
2018-12-31 至 2020-12-31
中文摘要
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英文摘要
A fundamental idea of nanotechnology is the miniaturization of functional systems, e.g. the construction of molecular machines and their operation at the nanoscale. Mechanically interlocked molecules such as rotaxanes or catenanes are promising prototypes for synthetic molecular machines. With the awarding the Nobel Prize in Chemistry to this field in 2016, this research has been pushed into the view of the general public. However, the lack of biocompatibility and challenging multi-step synthesis complicate applications of these synthetic nanodevices. Promising alternatives to synthetic systems are natural products with mechanically interlocked structures such as lasso peptides. Their intertwined structure can be easily manipulated by tools of chemistry and biochemistry, which allows a conversion into rotaxanes and catenanes. Additionally, some lasso peptides can undergo reversible conformational changes, which make them suitable as molecular switches. In this project, novel peptide-based architectures will be constructed suitable for the use as molecular machines. In a first step, lasso peptides will be chemically modified to enable intermolecular linkage. Molecular self-assembly utilizing these modified peptide building blocks will subsequently lead to more complex catenanes. Through a rational design controlled molecular motion can be generated in the resulting mechanically interlocked molecules. Thus, lasso peptide-based systems offer a largely unexplored, yet promising alternative to synthetic molecular machines.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
DOI:
10.3389/fbioe.2020.01001
发表时间:
2020-08-25
期刊:
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
影响因子:
5.7
作者:
[Chou, Wen Kang, Vaikunthan, Mathini, Brynildsen, Mark P.]
通讯作者:
Brynildsen, Mark P.
国内基金
海外基金
基于Support Vector Machines(SVMs)算法的智能型期权定价模型的研究
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批准号:70501008
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项目类别:青年科学基金项目
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资助金额:17.0万元
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批准年份:2005
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负责人:曹丽娟
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依托单位: