Department of Nano Fusion Technology, Pusan National University, Busan, 609-735, South Korea.
Org Biomol Chem. 2019 Jun 12;17(23):5666-5670. doi: 10.1039/c8ob03075h.
Selective and sensitive detection of desired targets is very critical in sensor design. Here, we report a genetically engineered M13 bacteriophage-based sensor system evaluated by quantum mechanics (QM) calculations. Phage display is a facile way to develop the desired peptide sequences, but the resulting sequences can be imperfect peptides for binding of target molecules. A TNT binding peptide (WHW) carrying phage was self-assembled to fabricate thin films and tested for the sensitive and selective surface plasmon resonance-based detection of TNT molecules at the 500 femtomole level. SPR studies performed with the WHW peptide and control peptides (WAW, WHA, AHW) were well-matched with those of the QM calculations. Our combined method between phage engineering and QM calculation will significantly enhance our ability to design selective and sensitive sensors.
在传感器设计中,对目标的选择性和敏感性检测是非常关键的。在这里,我们报告了一种基于基因工程 M13 噬菌体的传感器系统,该系统通过量子力学 (QM) 计算进行了评估。噬菌体展示是开发所需肽序列的一种简单方法,但得到的序列可能不是与靶分子结合的完美肽。携带 TNT 结合肽 (WHW) 的噬菌体自组装成薄膜,并用于在 500 飞摩尔水平下灵敏和选择性地基于表面等离子体共振检测 TNT 分子。用 WHW 肽和对照肽 (WAW、WHA、AHW) 进行的 SPR 研究与 QM 计算非常吻合。我们将噬菌体工程与 QM 计算相结合的方法将显著提高我们设计选择性和敏感性传感器的能力。