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Rapidly determining the 3D structure of proteins by surface-enhanced Raman spectroscopy
Despite great advances in protein structure analysis, label-free and ultrasensitive methods to obtain the natural and dynamic three-dimensional (3D) structures are still urgently needed. Surface-enhanced Raman spectroscopy (SERS) can be a good candidate, whereas the complexity originated from the in...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665000/ https://www.ncbi.nlm.nih.gov/pubmed/37992170 http://dx.doi.org/10.1126/sciadv.adh8362 |
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author | Ma, Hao Yan, Sen Lu, Xinyu Bao, Yi-Fan Liu, Jia Liao, Langxing Dai, Kun Cao, Maofeng Zhao, Xiaojiao Yan, Hao Wang, Hai-Long Peng, Xiaohui Chen, Ningyu Feng, Huishu Zhu, Lilin Yao, Guangbao Fan, Chunhai Wu, De-Yin Wang, Binju Wang, Xiang Ren, Bin |
author_facet | Ma, Hao Yan, Sen Lu, Xinyu Bao, Yi-Fan Liu, Jia Liao, Langxing Dai, Kun Cao, Maofeng Zhao, Xiaojiao Yan, Hao Wang, Hai-Long Peng, Xiaohui Chen, Ningyu Feng, Huishu Zhu, Lilin Yao, Guangbao Fan, Chunhai Wu, De-Yin Wang, Binju Wang, Xiang Ren, Bin |
author_sort | Ma, Hao |
collection | PubMed |
description | Despite great advances in protein structure analysis, label-free and ultrasensitive methods to obtain the natural and dynamic three-dimensional (3D) structures are still urgently needed. Surface-enhanced Raman spectroscopy (SERS) can be a good candidate, whereas the complexity originated from the interactions between the protein and the gradient surface electric field makes it extremely challenging to determine the protein structure. Here, we propose a deciphering strategy for accurate determination of 3D protein structure from experimental SERS spectra in seconds by simply summing SERS spectra of isolated amino acids in electric fields of different strength with their orientations in protein. The 3D protein structure can be reconstructed by comparing the experimental spectra obtained in a well-defined gap-mode SERS configuration with the simulated spectra. The gradient electric field endows SERS with a unique advantage to section biomolecules with atomic precision, which makes SERS a competent tool for monitoring biomolecular events under physiological conditions. |
format | Online Article Text |
id | pubmed-10665000 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-106650002023-11-22 Rapidly determining the 3D structure of proteins by surface-enhanced Raman spectroscopy Ma, Hao Yan, Sen Lu, Xinyu Bao, Yi-Fan Liu, Jia Liao, Langxing Dai, Kun Cao, Maofeng Zhao, Xiaojiao Yan, Hao Wang, Hai-Long Peng, Xiaohui Chen, Ningyu Feng, Huishu Zhu, Lilin Yao, Guangbao Fan, Chunhai Wu, De-Yin Wang, Binju Wang, Xiang Ren, Bin Sci Adv Physical and Materials Sciences Despite great advances in protein structure analysis, label-free and ultrasensitive methods to obtain the natural and dynamic three-dimensional (3D) structures are still urgently needed. Surface-enhanced Raman spectroscopy (SERS) can be a good candidate, whereas the complexity originated from the interactions between the protein and the gradient surface electric field makes it extremely challenging to determine the protein structure. Here, we propose a deciphering strategy for accurate determination of 3D protein structure from experimental SERS spectra in seconds by simply summing SERS spectra of isolated amino acids in electric fields of different strength with their orientations in protein. The 3D protein structure can be reconstructed by comparing the experimental spectra obtained in a well-defined gap-mode SERS configuration with the simulated spectra. The gradient electric field endows SERS with a unique advantage to section biomolecules with atomic precision, which makes SERS a competent tool for monitoring biomolecular events under physiological conditions. American Association for the Advancement of Science 2023-11-22 /pmc/articles/PMC10665000/ /pubmed/37992170 http://dx.doi.org/10.1126/sciadv.adh8362 Text en Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Physical and Materials Sciences Ma, Hao Yan, Sen Lu, Xinyu Bao, Yi-Fan Liu, Jia Liao, Langxing Dai, Kun Cao, Maofeng Zhao, Xiaojiao Yan, Hao Wang, Hai-Long Peng, Xiaohui Chen, Ningyu Feng, Huishu Zhu, Lilin Yao, Guangbao Fan, Chunhai Wu, De-Yin Wang, Binju Wang, Xiang Ren, Bin Rapidly determining the 3D structure of proteins by surface-enhanced Raman spectroscopy |
title | Rapidly determining the 3D structure of proteins by surface-enhanced Raman spectroscopy |
title_full | Rapidly determining the 3D structure of proteins by surface-enhanced Raman spectroscopy |
title_fullStr | Rapidly determining the 3D structure of proteins by surface-enhanced Raman spectroscopy |
title_full_unstemmed | Rapidly determining the 3D structure of proteins by surface-enhanced Raman spectroscopy |
title_short | Rapidly determining the 3D structure of proteins by surface-enhanced Raman spectroscopy |
title_sort | rapidly determining the 3d structure of proteins by surface-enhanced raman spectroscopy |
topic | Physical and Materials Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665000/ https://www.ncbi.nlm.nih.gov/pubmed/37992170 http://dx.doi.org/10.1126/sciadv.adh8362 |
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