Abstract：COVID-19, which has lasted for a year, has caused great damage to the global economy. In order to control COVID-19 effectively, rapid detection of COVID-19 (SARS-CoV-2) is an urgent problem. Spike protein is the detection point of Raman spectroscopy to detect SARS-CoV-2. The construction of spike protein Raman characteristic peaks plays an important role in the rapid detection of SARS-CoV-2 using Raman technology. In this paper, we used Deep Neural Networks to construct the amideⅠ and Ⅲ characteristic peak model of spike proteins based on simplified exciton model, and combined with the experimental structures of seven coronaviruses (HCoV-229E, HCoV-HKU1, HCoV-NL63, HCoV-OC43, MERS-CoV, SARS-CoV, SARS-CoV-2) spike proteins, analyzed the differences of amideⅠ andⅢ characteristic peaks of seven coronaviruses. The results showed that seven coronaviruses could be divided into four groups according to the amideⅠ and Ⅲ characteristic peaks of spike proteins: SARS-CoV-2, SARS-CoV, MERS-CoV form a group; HCoV-HKU1, HCoV-NL63 form a group; HCoV-229E and HCoV-OC43 form a group independently. The frequency of amideⅠ and Ⅲ in the same group is relatively close，and it is difficult to distinguish spike proteins by the frequency of amideⅠ and Ⅲ; the characteristic peaks of amideⅠ and Ⅲ in different groups are quite different, and spike proteins can be distinguished by Raman spectroscopy. The results provide a theoretical basis for the development of Raman spectroscopy for rapid detection of SARS-CoV-2.
倪 爽，温家星，周民杰，黄景林，乐 玮，陈 果，何智兵，李 波，赵松楠，赵宗清，杜 凯. 基于深度学习的冠状病毒刺突蛋白拉曼特征峰的理论研究[J]. 光谱学与光谱分析, 2022, 42(09): 2757-2762.
NI Shuang, WEN Jia-xing, ZHOU Min-jie, HUANG Jing-lin, LE Wei, CHEN Guo, HE Zhi-bing, LI Bo, ZHAO Song-nan, ZHAO Zong-qing, DU Kai. Theoretical Study on Raman Characteristic Peaks of Coronavirus Spike Protein Based on Deep Learning. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2757-2762.
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