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Modeling of S Glycoprotein SARS-CoV-2 as Microwave Dielectric Resonator

机译:S糖蛋白SARS-COV-2的建模作为微波介质谐振器

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The first SARS-CoV-2 outbreak appeared at the end of 2019 and, after only a few months, the WHO declared it as global pandemic. In response, the global scientific community has been committed to seeking to stop it. Classically, inactivation of viruses in the open space can be done by microwave thermal heating, strong chemical inactivation or UV irradiation, methods that affect the open public. New solutions have been researched, such as the use of the acoustic and / or electromagnetic field with certain frequencies, because the inactivation of the virus takes place at a reasonable power density, safe for the open public. The main target of this research was the S glycoprotein of SARS-Cov-2, because through its two subunits, S1 and S2, the virus recognizes and binds to the host cell. Based on the cryo-electron microscopy images at atomic level of the S glycoprotein, the 3D random surface calculation model was generated for the two functional states: pre-fusion and post-fusion. The S glycoprotein is analyzed as a microwave dielectric resonator and antenna; the resonance frequencies and radiation pattern have been computed in this paper. A number of 10 resonant frequencies in the millimeter range of the microwave and the radiation pattern of the first resonant frequency are presented. Because the viral action of SARS-CoV-2 is strongly dependent on the efficiency of the S glycoprotein, the change in its shape (through changes in the RNA of the cell) will be able to control the width of the radiation pattern (possible at its resonant eigenfrequency).
机译:第一个SARS-COV-2爆发出现在2019年底,之后只有几个月,谁将其宣称为全球大流行。作为回应,全球科学界一直致力于寻求阻止它。经典地,可以通过微波热加热,强化学灭活或紫外线照射,影响开放公众的方法来灭活空间中的病毒。已经研究了新的解决方案,例如使用具有某些频率的声学和/或电磁场,因为病毒的失活在合理的功率密度下进行,以便开放公众安全。该研究的主要目标是SARS-COV-2的S糖蛋白,因为通过其两个亚基,S1和S2,病毒识别并与宿主细胞结合。基于S糖蛋白原子水平的低温电子显微镜图像,为两个功能状态产生3D随机表面计算模型:预融合和融合。将S糖蛋白分析为微波介质谐振器和天线;本文已经计算了谐振频率和辐射模式。提出了许多10毫米范围的微波和第一谐振频率的辐射图案中的10个谐振频率。因为SARS-COV-2的病毒作用强烈依赖于S糖蛋白的效率,所以其形状的变化(通过电池RNA的变化)将能够控制辐射图案的宽度(可能的它的共鸣的特征频率)。

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