AI Article Synopsis
- Wearable sensors are gaining attention for monitoring human health by detecting biomarkers in sweat, saliva, or urine.
- This study focuses on discovering 12-mer peptides that effectively bind to neuropeptide Y (NPY), a biomarker related to stress and health, through both experimental and computational methods.
- The identified peptides have strong binding affinities suitable for sensor applications, and the cost-effective in silico design method simplifies the process of designing peptide-based recognition elements for various biomarkers.
Article Abstract
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.
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| http://dx.doi.org/10.1021/acs.jpcb.9b09439 | DOI Listing |
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