发表机构
The Maharaja Sayajirao University of Baroda（巴罗达马哈拉贾·萨亚吉拉奥大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对病毒衣壳呼吸模式频率计算与实验不符的问题，提出将病毒建模为宏观耦合谐振子并整合质量加载的解析框架，按几何分类求解，验证显示其优于现有模型。
AI 中文摘要
病毒衣壳呼吸模式频率的估算在文献中一直是一个持续存在的挑战，由此催生了各种框架和方法。然而，实验测量的低频拉曼散射（LFRS）与先前计算值之间存在差异。为解决这一差异，我们提出一个框架，通过将病毒建模为宏观耦合谐振子来确定呼吸模式频率。通过将质量加载直接整合到经典弹性动力学方程中，该模型得到一个解析表达式，将系统总惯性与其特定几何形状耦合。此外，病毒根据其几何形状被分为三个坐标，以获取各自的几何特征值。在此，我们展示了所提出的病毒多几何呼吸模式框架（MBFV）在针对LFRS验证时，比先前框架产生更接近的值，从而优于先前模型。
英文摘要
The estimation of the breathing mode frequency for viral capsids remains a persistent challenge across literature which spawned various frameworks and methodologies. However, discrepancies were observed between the experimental Low Frequency Raman Scattering (LFRS) and calculated pre-existing values. To solve this discrepancy, we propose a framework which is developed to determine the breathing-mode frequency by modelling the virus as a macroscopic coupled harmonic oscillator. By integrating mass-loading directly into the classical elastodynamic equations, this model yields an analytical expression that couples the system's total inertia with its specific geometry. Moreover, the viruses are segregated according to their geometries into three coordinates to acquire their respective geometric eigen values. Here we illustrate how the proposed Multigeometric Breathing mode Framework for Virus (MBFV) outperforms prior models by yielding closer values than the pre-existing frameworks upon validating against LFRS.
Comments29 pages, 10 figures
