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首页> 外文期刊>Advanced Functional Materials >Modular Self-Assembling Peptide Platform with a Tunable Thermoresponsiveness via a Single Amino Acid Substitution
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Modular Self-Assembling Peptide Platform with a Tunable Thermoresponsiveness via a Single Amino Acid Substitution

机译:通过单个氨基酸取代具有可调热响应性的模块化自组装肽平台

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The introduction of a stimulus-responsive property is an effective way to increase the applicability of functional materials in the field of nanobiotechnology. Herein, a peptide platform is devised for constructing elastin-like peptide amphiphiles (ELPAs) that exhibit a temperature-responsiveness that can be easily tuned via a single N-terminal amino acid substitution at the final step of peptide synthesis. Due to the modular property of peptides, the platform based on a miniaturized elastin-like peptide (MELP) can be conjugated with various bioactive peptide sequences in diverse macromolecular topologies. First, the MELP platform is coupled with a short linear RGD peptide. The ELPAs of the peptide conjugates exhibit rapid aggregation (coacervation) and retard disaggregation in response to heating and cooling, respectively. Second, the platform is grafted with an alpha-helical guest peptide in a lariat-type structure, which forms ELPAs that undergo faster disassembly than the ELPAs without the guest peptide in response to temperature increases. Interestingly, the critical temperatures for the thermoresponsive behaviors are commonly dependent on the hydrophobic and aromatic properties of the N-terminal amino acid residues. These results suggest that this peptide platform possesses great potential for use in the development of smart materials in wide-ranging applications related to temperature change.
机译:引入刺激响应特性是增加功能材料在纳米生物技术领域中的适用性的有效方法。本文中,设计了一种肽平台,用于构建弹性蛋白样肽两亲物(ELPA),其显示出可以在肽合成的最后一步通过单个N端氨基酸取代轻松调节的温度响应性。由于肽的模块化特性,基于微型弹性蛋白样肽(MELP)的平台可与多种生物活性肽序列以多种大分子拓扑结构缀合。首先,MELP平台与短线性RGD肽偶联。肽缀合物的ELPA分别响应于加热和冷却而显示出快速聚集(凝聚)和延迟分解。其次,平台以套索状结构嫁接了α-螺旋客体肽,形成的ELPA与温度不发生客体肽的ELPA相比,分解速度要快。有趣的是,热响应行为的临界温度通常取决于N末端氨基酸残基的疏水和芳香特性。这些结果表明,该肽平台具有广阔的潜力,可用于开发与温度变化相关的广泛应用的智能材料。

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