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Classification of Coronavirus Spike Proteins by Deep-Learning-Based Raman Spectroscopy and its Interpretative Analysis by Wenbo Mo; Jiaxing Wen; Jinglin Huang; Yue Yang; Minjie Zhou; Shuang Ni; Wei Le; Lai Wei; Daojian Qi; Shaoyi Wang; Jingqin Su; Yuchi Wu; Weimin Zhou; Kai Du; Xuewu Wang; Zongqing Zhao is a Chemistry article available to read on EtoBox.
What is Classification of Coronavirus Spike Proteins by Deep-Learning-Based Raman Spectroscopy and its Interpretative Analysis about?
The outbreak of COVID-19 has spread worldwide, causing great damage to the global economy. Raman spectroscopy is expected to become a rapid and accurate method for the detection of coronavirus. A classifi cation method of coronavirus spike proteins by Raman spectroscopy based on deep learning was implemented. A Raman spectra dataset of the spike proteins of fi ve coronaviruses (including MERS-CoV, SARS-CoV, SARS-CoV-2, HCoV-HKU1, and HCoV-OC43) was generated to establish the neural network model for classifi cation. Even for rapidly acquired spectra with a low signal-to-noise ratio, the average accuracy exceeded 97%. An interpretive analysis of the classifi cation results of the neural network was performed, which indicated that the diff erences in spectral characteristics captured by the neural network were consistent with the experimental analysis. The interpretative analysis method provided a valuable reference for identifying complex Raman spectra using deep-learning techniques. Our approach exhibited the potential to be applied in clinical practice to identify COVID-19 and other coronaviruses, and it can also be applied to other identifi cation problems such as the identifi ca
Who reads Classification of Coronavirus Spike Proteins by Deep-Learning-Based Raman Spectroscopy and its Interpretative Analysis?
It is typically read by researchers, students, and practitioners in Chemistry.
- Author
- Wenbo Mo; Jiaxing Wen; Jinglin Huang; Yue Yang; Minjie Zhou; Shuang Ni; Wei Le; Lai Wei; Daojian Qi; Shaoyi Wang; Jingqin Su; Yuchi Wu; Weimin Zhou; Kai Du; Xuewu Wang; Zongqing Zhao
- Publisher
- Springer Science and Business Media LLC
- Published
- 2023
- Language
- EN
- Field
- Chemistry (Physical Sciences)