A compact CLIP model: predicting spectral properties of AgNCs using a DNA template
Source abstract
Abstract
We developed a new deep learning compact CLIP model and established the AgNC database with 3844 samples to predict the fluorescence properties of AgNCs with different DNA sequences and structures.
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Advanced biosensing and bioanalysis techniques · DNA and Nucleic Acid Chemistry
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Computer Science and Technology, Dalian University of Technology, Dalian, 116024, China
Allied Health Department, Osaka University, Osaka, 565-0871, Japan
Key Laboratory of Advanced Design and Intelligent Computing, Dalian University, Dalian, 116622, China
Funding
Natural Science Foundation of Liaoning Province · Higher Education Discipline Innovation Project · National Natural Science Foundation of China
References (43)
Show source-provided references
1. Guo · Biosens. Bioelectron. · 2020 · 150 · 11192610.1016/j.bios.2019.111926 ↗
2. Díez · Angew. Chem., Int. Ed. · 2009 · 48 · 212210.1002/anie.200806210 ↗
3. Qin · Anal. Chem. · 2020 · 92 · 198810.1021/acs.analchem.9b04374 ↗
4. Kshatriya · BIOI · 2024 · 5 · 992
5. He · Anal. Chem. · 2021 · 93 · 1163410.1021/acs.analchem.1c02444 ↗
6. Wu · ACS Appl. Mater. Interfaces · 2022 · 14 · 1495310.1021/acsami.1c24547 ↗
7. Yuan · Chem. Res. Chin. Univ. · 2019 · 35 · 58110.1007/s40242-019-9085-6 ↗
8. Zeng · Microchim. Acta · 2022 · 189 · 40310.1007/s00604-022-05505-0 ↗
9. Yang · Front. Chem. · 2020 · 8 · 60162110.3389/fchem.2020.601621 ↗
10. Saraswathi · J. Photochem. Photobiol., B · 2020 · 207 · 11188610.1016/j.jphotobiol.2020.111886 ↗
11. Danai · Nanomedicine · 2023 · 18 · 76910.2217/nnm-2023-0082 ↗
12. Wu · J. Lumin. · 2016 · 179 · 55010.1016/j.jlumin.2016.08.007 ↗
13. Chou · New J. Chem. · 2024 · 48 · 353310.1039/D3NJ05417A ↗
14. Nagda · Nanomaterials · 2019 · 9 · 66710.3390/nano9050667 ↗
15. Ma · RSC Adv. · 2021 · 11 · 115310.1039/D0RA08066G ↗
16. Liu · Anal. Chem. · 2024 · 96 · 1039110.1021/acs.analchem.4c01554 ↗
17. Kim · J. Nanosci. Nanotechnol. · 2021 · 21 · 413410.1166/jnn.2021.19377 ↗
18. Feng · Nucleic Acids Res. · 2012 · 40 · e12210.1093/nar/gks387 ↗
19. Gupta · Nanoscale Adv. · 2023 · 5 · 350010.1039/D3NA00092C ↗
20. Geczy · Angew. Chem., Int. Ed. · 2020 · 132 · 1622510.1002/ange.202005102 ↗
21. Ma · ChemBioChem · 2021 · 22 · 121010.1002/cbic.202000640 ↗
22. Léon · Chemistry · 2018 · 24 · 832010.1002/chem.201801858 ↗
23. Wu · J. Lumin. · 2016 · 179 · 55010.1016/j.jlumin.2016.08.007 ↗
24. Hooley · Adv. Opt. Mater. · 2015 · 3 · 110910.1002/adom.201500048 ↗
25. Zhu · Nanoscale · 2015 · 7 · 1322410.1039/C5NR03092G ↗
26. Guo · Small · 2021 · 17 · 200655310.1002/smll.202006553 ↗
27. Malola · J. Phys. Chem. C · 2023 · 127 · 1655310.1021/acs.jpcc.3c04103 ↗
28. Wu · J. Lumin. · 2016 · 179 · 55010.1016/j.jlumin.2016.08.007 ↗
29. M.Lan , C.Chen , Y.Ke , X.Wang , L.Feng and W.Zhang , Presented in part at 18th European Conference , Milan , Italy , 2025
30. A.Radford , J. W.Kim , C.Hallacy , A.Ramesh , G.Goh , S.Agarwal , G.Sastry , A.Askell , P.Mishkin and J.Clark , Learning transferable visual models from natural language supervision , Presented in part at International Conference on Machine Learning , 2021
31. Copp · Adv. Mater. · 2014 · 26 · 583910.1002/adma.201401402 ↗
32. Copp · Chem. Mater. · 2019 · 32 · 43010.1021/acs.chemmater.9b04040 ↗
33. Zhai · ACS Appl. Nano Mater. · 2022 · 5 · 961510.1021/acsanm.2c01827 ↗
34. Chowdhury · Sensors · 2024 · 24 · 187310.3390/s24061873 ↗
35. Wang · Talanta · 2024 · 275 · 12613810.1016/j.talanta.2024.126138 ↗
36. M.Kazemzadeh , C.Hisey , M. M.Calderon , L.Chamley , P.Xu and N.Broderick , Deep Learning as an Improved Method of Preprocessing Biomedical Raman Spectroscopy Data, TechRxiv , 2022 , preprint 10.36227/techrxiv.19435718.v110.36227/techrxiv.19435718.v1 ↗
37. C. W.Xie , S.Sun , X.Xiong , Y.Zheng , D.Zhao and J.Zhou , Ra-clip: Retrieval augmented contrastive language-image pre-training, presented in part at IEEE/CVF Conference on Computer Vision and Pattern Recognition , Vancouver, Canada, 2023
38. Gao · RSC Adv. · 2016 · 6 · 6623310.1039/C6RA07827C ↗
39. New · Nanoscale · 2016 · 8 · 1772910.1039/C6NR05872H ↗
40. Ren · Nat. Commun. · 2022 · 13 · 398210.1038/s41467-022-31603-x ↗
41. Yang · Biosens. Bioelectron. · 2015 · 64 · 34510.1016/j.bios.2014.09.029 ↗
42. Copp · Adv. Mater. · 2014 · 33 · 583910.1002/adma.201401402 ↗
43. Copp · ACS Nano · 2018 · 12 · 824010.1021/acsnano.8b03404 ↗