Computational design of recognition peptide based plasmonic biosensor for small molecules detection
Project/Area Number |
21K14169
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Research Category |
Grant-in-Aid for Early-Career Scientists
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Allocation Type | Multi-year Fund |
Review Section |
Basic Section 21030:Measurement engineering-related
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Research Institution | Okayama University |
Principal Investigator |
WANG JIN 岡山大学, ヘルスシステム統合科学学域, 助教 (10870975)
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Project Period (FY) |
2021-04-01 – 2024-03-31
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Project Status |
Granted (Fiscal Year 2022)
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Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2023: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2022: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2021: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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Keywords | peptide / computational design / small molecules / odorant binding protein / docking / organic receptors / 計算分子設計 / ペプチド / プラズモニック / がんやCOVID-19のVOCsバイオマーカー |
Outline of Research at the Start |
Peptide as a promising molecular recognition element has gained intense interest for developing novel sensing devices. In this study, rational design of peptide based plasmonic biosensor for small molecules (volatile organic compounds biomarkers from cancer/disease and COVID-19) will be developed.
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Outline of Annual Research Achievements |
A series of peptides, derived from odorant-binding proteins (OBPs), were strategically designed to recognize VOCs associated with SARS-CoV-2. Ethanol, nonanal, benzaldehyde, acetic acid, and acetone were chosen as representative VOCs found in exhaled breath during COVID-19 infection. Computational docking and prediction tools were employed to characterize and analyze the OBP peptides. Various factors, such as docking models, binding affinity, sequence specificity, and structural folding, were examined.
Additionally, bioreceptors such as DNA aptamers and organic receptors like APTES have been confirmed and utilized for highly sensitive detection of small molecules, such as cortisol and aromatic compounds. The interaction mechanisms were demonstrated using computational docking approaches.
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Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
Although sensor recognition has been successfully developed and demonstrated using various methods, the next step should focus on the development of a plasmonic sensor.
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Strategy for Future Research Activity |
Therefore, the next step in our research will focus on developing a peptide-gold nanoparticles, PDMS-based wearable sensor for VOCs detection. This innovative approach will capitalize on the localized surface plasmon resonance (LSPR) phenomenon induced by gold nanoparticles, which is known for its enhanced sensitivity and selectivity. By incorporating the peptide-based recognition elements onto the gold nanoparticles, we aim to create a highly responsive and reliable wearable sensor for detecting VOCs in real-time. This cutting-edge technology has the potential to revolutionize VOCs sensing applications, from environmental monitoring to medical diagnostics and beyond.
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Report
(2 results)
Research Products
(2 results)