Dynamic peptide libraries for the discovery of supramolecular nanomaterials
Dynamic peptide libraries for the discovery of supramolecular nanomaterials
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DOI：
10.1038/nnano.2016.169
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发表时间：
2016-11-01
影响因子：
38.3
通讯作者：
Ulijn, Rein V.
中科院分区：
文献类型：
--
作者：
Pappas, Charalampos G.;Shafi, Ramim;Ulijn, Rein V.
序列特异性聚合物，如寡核苷酸和多肽，可以用作功能超分子纳米材料的构建块。然而，由于可用的巨大组合空间，设计和选择合适的自组装序列是具有挑战性的。在这里，我们报告了一种允许在肽序列空间中搜索自组装结构的方法。在这种方法中，没有保护的同源和异源二肽(包括芳香族、脂肪族、极性和带电氨基酸)经过连续的酶促缩合、水解和序列交换，创建了一个动态的组合多肽文库。与组装过程本身相关的自由能变化引起了自组装候选者的选择性放大。在选择过程中，通过改变环境条件，可以选择不同的序列和随后的纳米级形貌。
Sequence-specific polymers, such as oligonucleotides and peptides, can be used as building blocks for functional supramolecular nanomaterials. The design and selection of suitable self-assembling sequences is, however, challenging because of the vast combinatorial space available. Here we report a methodology that allows the peptide sequence space to be searched for self-assembling structures. In this approach, unprotected homo- and heterodipeptides (including aromatic, aliphatic, polar and charged amino acids) are subjected to continuous enzymatic condensation, hydrolysis and sequence exchange to create a dynamic combinatorial peptide library. The free-energy change associated with the assembly process itself gives rise to selective amplification of self-assembling candidates. By changing the environmental conditions during the selection process, different sequences and consequent nanoscale morphologies are selected.