Luyet Chloe, Elvati Paolo, Vinh Jordan, Violi Angela
Chemical Engineering, University of Michigan, Ann Arbor, MI 48109-2125, USA.
Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109-2125, USA.
Membranes (Basel). 2023 Jan 21;13(2):139. doi: 10.3390/membranes13020139.
A growing body of work has linked key biological activities to the mechanical properties of cellular membranes, and as a means of identification. Here, we present a computational approach to simulate and compare the vibrational spectra in the low-THz region for mammalian and bacterial membranes, investigating the effect of membrane asymmetry and composition, as well as the conserved frequencies of a specific cell. We find that asymmetry does not impact the vibrational spectra, and the impact of sterols depends on the mobility of the components of the membrane. We demonstrate that vibrational spectra can be used to distinguish between membranes and, therefore, could be used in identification of different organisms. The method presented, here, can be immediately extended to other biological structures (e.g., amyloid fibers, polysaccharides, and protein-ligand structures) in order to fingerprint and understand vibrations of numerous biologically-relevant nanoscale structures.
越来越多的研究工作将关键生物活性与细胞膜的力学性质联系起来，并将其作为一种识别手段。在此，我们提出一种计算方法，用于模拟和比较哺乳动物和细菌细胞膜在低太赫兹区域的振动光谱，研究膜不对称性和组成的影响，以及特定细胞的保守频率。我们发现不对称性不会影响振动光谱，甾醇的影响取决于膜成分的流动性。我们证明振动光谱可用于区分不同的膜，因此可用于识别不同的生物体。本文提出的方法可立即扩展到其他生物结构（如淀粉样纤维、多糖和蛋白质-配体结构），以便对众多与生物相关的纳米级结构的振动进行指纹识别和理解。
