Advancing Peptide-Based Biorecognition Elements for Biosensors Using in-Silico Evolution
Abstract
Sensors for human health and performance monitoring require biological recognition elements (BREs) at device interfaces for the detection of key molecular biomarkers that are measurable biological state indicators. BREs, including peptides, antibodies, and nucleic acids, bind to biomarkers in the vicinity of the sensor surface to create a signal proportional to the biomarker concentration. The discovery of BREs with the required sensitivity and selectivity to bind biomarkers at low concentrations remains a fundamental challenge. In this study, we describe an in-silico approach to evolve higher sensitivity peptide-based BREs for the detection of cardiac event marker protein troponin I (cTnI) from a previously identified BRE as the parental affinity peptide. The P2 affinity peptide, evolved using our in-silico method, was found to have ∼16-fold higher affinity compared to the parent BRE and ∼10 fM (0.23 pg/mL) limit of detection. The approach described here can be applied towards designing BREs for other biomarkers for human health monitoring.
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The specific peptide HWQIAYNEHQWQ exhibits a binding affinity (Kd) of 270 pM comparable to that of antibodies.
“This specific peptide (HWQIAYNEHQWQ) not only exhibits an impressive binding affinity (Kd) of 270 pM comparable to that of antibodies37, but also targets the central portion of cTnI (amino acid residues 114–144) with less susceptibility to proteolysis and is postulated to be an optimal targeting epitope to detect all forms of cTnI present in blood circulation38–40.”
From Nanoproteomics enables proteoform-resolved analysis of low-abundance proteins in human serum (2020) · cites this paper as [37]
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Self-citationProgress in (Photo)electrochemical Biosensors for the Detection of Amyloid-Beta Oligomer
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Designed peptides as affinity ligands for extracellular-vesicle-based cancer diagnosis
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- Authors
- Xiao, X., Kuang, Z., Slocik, J. M., Tadepalli, S., Brothers, M., Kim, S., Mirau, P. A., Butkus, C., Farmer, B. L., Singamaneni, S., Hall, C. K., & Naik, R. R.
- Affiliations
- North Carolina State University (US)
- United States Air Force Research Laboratory (US)
- Washington University in St. Louis (US)
- Corresponding author
- Hall, Carol K.
- Naik, Rajesh R.
- ORCID
- Venue
- ACS Sensors
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-05-09
- Volume
- 3
- Issue
- 5
- Pages
- 1024-1031
- ISSN
- 2379-3694 (ISSN-L)
- OpenAlex
- W2800287583
- Cited by
- 65
- References
- 42
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 8 · 2023: 9 · 2022: 11 · 2021: 10 · 2020: 8 · 2019: 6 · 2018: 2 · 2017: 1
- FWCI
- 2.31
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- ACS Sensors (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Air Force Office of Scientific Research (FA9550-15-1-0228, FA9550-16-10078, 12RX11COR)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced biosensing and bioanalysis techniques
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced Biosensing Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
- Keywords
- in silico evolution, biosensors, troponin I, cardiac biomarkers, affinity peptides, detection limit, biomarker detection, human health monitoring, protein-peptide interactions
- MeSH terms
- Amino Acid Sequence, Circular Dichroism, Computer Simulation, Humans, Immunoassay, Microscopy, Electron, Scanning, Peptides, Reproducibility of Results, Biosensing Techniques, Biomarkers, Troponin I, Surface Plasmon Resonance, Limit of Detection, Dielectric Spectroscopy
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