期刊
BIOSENSORS-BASEL
卷 10, 期 8, 页码 -出版社
MDPI
DOI: 10.3390/bios10080098
关键词
Botulinum neurotoxin type C; aptamer; docking simulation; aptamer-based sandwich assay
资金
- National Research Foundation of Korea (NRF) - Korea government (MSIT) [2020R1A2C1009463]
- Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Education [2020R1A6A1A06046235]
- National Research Foundation of Korea [2020R1A2C1009463] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
Aptamers are biomaterials that bind to a target molecule through a unique structure, and have high applicability in the diagnostic and medical fields. To effectively utilize aptamers, it is important to analyze the structure of the aptamer binding to the target molecule; however, there are difficulties in experimentally identifying this structure. In the modern pharmaceutical industry, computer-driven docking simulations that predict intermolecular binding models are used to select candidates that effectively bind target molecules. Botulinum toxin (BoNT) is the most poisonous neurotoxin produced from theClostridium botulinumbacteria, and BoNT/C, one of the eight serotypes, causes paralysis in livestock. In this study, the aptamers that bound to BoNT/C were screened via the systematic evolution of ligands by exponential enrichment, and the binding affinity analysis and binding model were evaluated to select optimal aptamers. Based on surface plasmon resonance analysis and molecular operating environment docking simulation, a pair of aptamers that had high binding affinity to BoNT/C and were bound to different BoNT/C sites were selected. A sandwich assay based on this aptamer pair detected the BoNT/C protein to a concentration as low as similar to 0.2 ng Ml(-1). These results show that docking simulations are a useful strategy for screening aptamers that bind to specific targets.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据