Wearable sensors for human health, performance, and state monitoring, which have a linear response to the binding of biomarkers found in sweat, saliva, or urine, are of current interest for many applications. A critical part of any device is a biological recognition element (BRE) that is able to bind a biomarker at the surface of a sensor with a high affinity and selectivity to produce a measurable signal response. In this study, we discover and compare 12-mer peptides that bind to neuropeptide Y (NPY), a stress and human health biomarker, using independent and complimentary experimental and computational approaches. The affinities of the NPY-binding peptides discovered by both methods are equivalent and below the micromolar level, which makes them suitable for application in sensors. The in silico design protocol for peptide-based BREs is low cost, highly efficient, and simple, suggesting its utility for discovering peptide binders to a variety of biomarker targets.

中文翻译：

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在计算机中发现和验证传感器的神经肽-Y结合肽。

对于人类健康，性能和状态监测而言，可穿戴传感器对汗液，唾液或尿液中发现的生物标志物的结合具有线性响应，目前在许多应用中都受到关注。任何设备的关键部分都是生物识别元件（BRE），它能够以高亲和力和选择性结合传感器表面的生物标记，以产生可测量的信号响应。在这项研究中，我们使用独立的，互补的实验和计算方法，发现并比较了与神经肽Y（NPY）（一种压力和人类健康生物标志物）结合的12-聚体肽。通过这两种方法发现的NPY结合肽的亲和力是等效的，并且低于微摩尔水平，这使其适合用于传感器。