Evidence map›Paper›PMID 35529782›Full record

ArticleChemical physics letters2022

Constructing high-accuracy theoretical Raman spectra of SARS-CoV-2 spike proteins based on a large fragment method.

Shuang Ni, Qiang Yang, Jinling Huang, Minjie Zhou, Lai Wei, Yue Yang, Jiaxin Wen, Wenbo Mo, Wei Le, Daojian Qi and 4 more

Abstract read
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Article in Chemical physics letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

14 authors.

Shuang NiLaser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
Qiang YangChina Academy of Engineering Physics, 621900 Mianyang, China.
Jinling HuangLaser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
Minjie ZhouLaser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
Lai WeiLaser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
Yue YangLaser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
Jiaxin WenLaser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
Wenbo MoLaser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
Wei LeLaser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
Daojian QiLaser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
Lei JinLaser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
Bo LiLaser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
Zongqin ZhaoLaser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.
Kai DuLaser Fusion Research Center, China Academy of Engineering Physics, 621900 Mianyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to control COVID-19, rapid and accurate detection of the pathogenic, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is an urgent task. The target spike proteins of SARS-CoV-2 have been detected experimentally via Raman spectroscopy. However, there lacks high-accuracy theoretical Raman spectra of the spike proteins to as a standard reference for the clinic diagnostic purpose. In this paper, we propose a large fragment method to construct the high-precision Raman spectra for the spike proteins. The large fragment method not only reduces the calculation error but also improves the accuracy of the protein Raman spectra by completely calculating the interactions within the large fragment. The Pearson correlation coefficient of theoretical Raman spectra is greater than 0.929 or more. Compared with the experimental spectra, the characteristic patterns are easily visible. This work provides a detection standard for the spike proteins which shall bring a step closer to the fast recognition of SARS-CoV-2

Indexed as

Large fragmentRaman spectraSARS-CoV-2Spike protein

Identifiers

PMID35529782
PMCPMC9055380

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