Peelle Beau R, Krauland Eric M, Wittrup K Dane, Belcher Angela M
Department of Biological Engineering, Biology, Chemical Engineering, and Materials Science and Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA.
Langmuir. 2005 Jul 19;21(15):6929-33. doi: 10.1021/la050261s.
Development of a fundamental understanding of how peptides specifically interact with inorganic material surfaces is crucial to furthering many applications in the field of nanobiotechnology. Herein, we report systematic study of peptide sequence-activity relationships for binding to II-VI semiconductors (CdS, CdSe, ZnS, ZnSe) and Au using a yeast surface display system, and we define criteria for tuning peptide affinity and specificity for these material surfaces. First, homohexapeptides of the 20 naturally occurring amino acids were engineered, expressed on yeast surface, and assayed for the ability to bind each material surface in order to define functional groups sufficient for binding. Histidine (H6) was able to mediate binding of yeast to the five materials studied, while tryptophan (W6), cysteine (C6), and methionine (M6) exhibited different levels of binding to single-crystalline ZnS and ZnSe and polycrystalline Au surfaces. The ability of neighboring amino acids to up- and down-modulate histidine binding was then evaluated by use of interdigitated peptides (XHXHXHX). While the 20 amino acids exhibited a unique fingerprint of modulation for each material, some general trends emerged. With neutral defined by alanine, up-modulation occurred with glycine, basic amino acids, and the previously defined binding amino acids histidine, tryptophan, cysteine, and methionine, and down-modulation generally occurred with acidic, polar, and hydrophobic residues. We conclude that certain amino acids directly bind the material surface while neighboring amino acids locally modulate the binding environment for the materials we studied. Therefore, by the specific placement of up- and down-modulating amino acids, material specificity can be controlled. Finally, by employing the compositional and spatial criteria developed herein, it was possible to predictively design peptide sequences with material specificity, including a multimaterial binder, a Au-specific binder, and a ZnS-specific binder, that were verified as such in the context of yeast display.
深入理解肽如何与无机材料表面特异性相互作用对于推动纳米生物技术领域的诸多应用至关重要。在此,我们报告了使用酵母表面展示系统对与II - VI族半导体(硫化镉、硒化镉、硫化锌、硒化锌)和金结合的肽序列 - 活性关系进行的系统研究,并确定了调节肽对这些材料表面亲和力和特异性的标准。首先,设计了由20种天然存在的氨基酸组成的同型六肽,在酵母表面表达,并检测其结合每种材料表面的能力,以确定足以实现结合的官能团。组氨酸(H6)能够介导酵母与所研究的五种材料结合,而色氨酸(W6)、半胱氨酸(C6)和甲硫氨酸(M6)对单晶硫化锌和硒化锌以及多晶金表面表现出不同程度的结合。然后通过使用交错肽(XHXHXHX)评估相邻氨基酸对组氨酸结合的上调和下调能力。虽然20种氨基酸对每种材料都表现出独特的调节指纹,但也出现了一些一般趋势。以丙氨酸定义为中性,甘氨酸、碱性氨基酸以及先前定义的结合氨基酸组氨酸、色氨酸、半胱氨酸和甲硫氨酸会导致上调,而酸性、极性和疏水性残基通常会导致下调。我们得出结论,某些氨基酸直接结合材料表面,而相邻氨基酸局部调节我们所研究材料的结合环境。因此,通过上调和下调氨基酸的特定排列,可以控制材料特异性。最后,通过采用本文制定的组成和空间标准,可以预测性地设计具有材料特异性的肽序列,包括一种多材料结合剂、一种金特异性结合剂和一种硫化锌特异性结合剂,这些在酵母展示的背景下得到了验证。