Peptide Aptamers: Innovative Design and Applications in Pathogen Detection
Peptide aptamers are short synthetic peptides that recognize targets with high affinity and specificity, offering advantages over antibodies and nucleic acid aptamers in size, structural flexibility, biocompatibility, and ease of chemical modification. Their design has progressed from traditional experimental screening to advanced computational approaches, such as structure-based rational design and artificial intelligence-driven generation. These methods have substantially enhanced screening efficiency and binding performance. For pathogen detection, biosensors employing peptide aptamers enable the rapid, sensitive, and specific identification of viruses, parasites, and other pathogens. Although challenges in affinity and stability remain, ongoing innovation positions peptide aptamers as a promising molecular tool for next-generation diagnostic platforms. This review systematically summarizes the design and key technological advances in peptide aptamers, emphasizing both traditional experimental screening and computer-aided design strategies. It also highlights representative applications of peptide aptamers in pathogen detection, providing a reference for developing high-performance recognition elements and novel detection platforms.
Authors
- Tonggong Liu
- Shengjie Wu (ORCID: https://orcid.org/0000-0002-0402-8110)
- Dayong Gu (ORCID: https://orcid.org/0000-0002-9547-8474)
- 陈俊文
- Xiaoyu Wu (ORCID: https://orcid.org/0000-0002-9779-4171)
- Jie Wen
Institutions
- Guangxi University of Chinese Medicine (CN)
- Guangdong Provincial Center for Disease Control and Prevention (CN)
- Shenzhen Second People's Hospital (CN)
- Northeastern University (CN)
Publication Details
- Journal
- ChemBioChem
- Published
- 2026-08-31
- DOI
- https://doi.org/10.1002/cbic.70525
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Shenzhen University
- National Health Commission of the People's Republic of China
- Science and Technology Planning Project of Guangdong Province
- Division of Graduate Education