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Selection process generating peptide aptamers and analysis of their binding to the TiO2 surface of a surface acoustic wave sensor.

机译:选择过程产生肽适体,并分析其与声表面波传感器的TiO2表面的结合。

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摘要

The set-up presented in this article is intended for the selection of peptides which serve as specific binders to suitable materials. Additionally, the interaction of such binders with material surfaces can be characterized. Using this approach, a subset of peptides which adhere to the mineral TiO(2) was generated by means of a cell surface display library. The peptides are constrained by a thioredoxin scaffold. Selection of proteins was carried out on a silicium wafer sputtered with TiO(2) in anatase conformation. To verify binders and to analyze the binding kinetics of the diluted suspension of the purified proteins, the chip-based S-sens K5 surface acoustic wave sensor system was used. The surface of the sensor chips was also TiO(2), resembling the material of the Si wafer selection target retaining the peptides. Several peptides were identified. The respective binding behavior differed. The data derived from real-time interaction analysis were evaluated to select for strong and specific binders. For one of these peptides, the binding kinetics was analyzed. On- and off-rate binding constants were extracted from the fitted curves. With the resulting association rate constant k(on) and the dissociation constant k(off), the affinity of the peptide for the TiO(2) surface was calculated, represented by the equilibrium dissociation constant K(D)=81 nM.
机译:本文中介绍的设置旨在选择用作合适材料特异性结合物的肽。另外,可以表征这种粘合剂与材料表面的相互作用。使用这种方法,通过细胞表面展示文库生成了附着于矿物TiO(2)的一部分肽。所述肽被硫氧还蛋白支架约束。蛋白质的选择是在用锐钛矿型TiO(2)溅射的硅片上进行的。为了验证结合剂并分析纯化蛋白稀释悬浮液的结合动力学,使用了基于芯片的S-sens K5表面声波传感器系统。传感器芯片的表面也是TiO(2),类似于保留肽的Si晶片选择目标的材料。鉴定了几种肽。各自的绑定行为不同。评估了来自实时相互作用分析的数据,以选择强结合剂和特异结合剂。对于这些肽之一,分析了结合动力学。从拟合曲线提取开和关速率结合常数。利用所得的缔合速率常数k(on)和解离常数k(off),计算出该肽对TiO(2)表面的亲和力,以平衡解离常数K(D)= 81 nM表示。

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