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通过计算红外/拉曼频率和紫外线吸附来对α,β和欧米克朗尖端蛋白进行比较研究 - - 通过DFT进行计算分析

Ravi Trivedi¹, P L Ashiq², Nandini Garg³

¹High Pressure and Synchrotron Radiation Physics Division, Bhabha Atomic Research Centre, Trombay, Mumbai, India; Department of Physics, Karpagam Academy of Higher Education, Coimbatore, 641021, Tamil Nadu, India; Centre for Computational Physics, Karpagam Academy of Higher Education, Coimbatore, 641021, Tamil Nadu, India.

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概括

通过分析尖端蛋白突变,光谱分析通过分析尖端蛋白突变来区分COVID-19菌株,如Alpha和Omicron. 这种方法提供了一种检测变异的新方法,有助于大流行病诊断.

科学领域:

生物物理学的生物物理.
计算化学计算化学
分子光谱学分子光谱学

背景情况:

由SARS-CoV-2引起的COVID-19大流行病已经经历了快速的病毒演变,全球出现了Alpha,Beta和Omicron等新菌株.
准确及时检测这些独特的病毒株对于有效的诊断策略和公共卫生管理至关重要.
现有的诊断方法在区分快速突变变种之间面临挑战.

研究的目的:

开发和应用基于光谱的方法来区分不同的COVID-19菌株,特别关注Alpha,Beta和Omicron变种.
用计算和光谱技术研究来自各种SARS-CoV-2菌株的尖端蛋白质的分子特性.
评估光谱数据在预测病毒感染性和结合能力方面的潜力.

主要方法:

利用红外和拉曼光谱来计算来自阿尔法,贝塔和欧米克朗变体的尖端蛋白的振动频率.
进行了UV-Vis吸收光谱,以分析电子转换和光学特性.
采用计算方法来优化尖端蛋白质结构,并计算分子静电电位,双极时刻和极化性.

主要成果:

光谱分析显示,在α,β和Omicron尖端蛋白之间,红外和拉曼频率以及光学吸收数据的显著差异.
计算优化显示,与Beta相比,Alpha和Omicron尖端蛋白的双极时刻和极化性更高,这表明生物活性更大.
分子静电电位图显示了不同的电友和核友区域,这意味着不同的电荷转移和反应性.
紫外线-Vis吸收分析表明,阿尔法和欧米克朗的不和电子转换,与与Beta相比,与人类蛋白质的增强结合亲和力相关.

结论:

谱学与计算分析相结合,提供了一种可行的方法,可以根据尖端蛋白特征区分COVID-19菌株.
观察到的分子特性 (二极子时刻,极化性,电子转换) 的差异与感染性和结合性的潜在变化相关.
这种方法为快速和准确的变种检测提供了一个有希望的途径,支持在大流行期间的诊断进步.

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