Oscar Bastidas Research LLC, Minneapolis, MN, USA.
Deep Netts Technologies LLC, RS, Belgrade, Serbia.
Sci Rep. 2024 Feb 9;14(1):3323. doi: 10.1038/s41598-024-53954-9.
The spike protein of SARS-CoV-2 is critical to viral infection of human host cells which ultimately results in COVID-19. In this study we analyzed the behavior of dihedral angles (phi and psi) of the wild-type spike protein over time from molecular dynamics and identified that their oscillations are dominated by a few discrete, relatively low frequencies in the 23-63 MHz range with 42.969 MHz being the most prevalent frequency sampled by the oscillations. We thus observed the spike protein to favor certain frequencies more than others. Gaps in the tally of all observed frequencies for low-abundance amino acids also suggests that the frequency components of dihedral angle oscillations may be a function of position in the primary structure since relatively more abundant amino acids lacked gaps. Lastly, certain residues identified in the literature as constituting the inside of a druggable pocket, as well as others identified as allosteric sites, are observed in our data to have distinctive time domain profiles. This motivated us to propose additional residues with similar time domain profiles, which may be of potential interest to the vaccine and drug design communities for further investigation. Thus these findings indicate that there is a particular frequency domain profile for the spike protein hidden within the time domain data and this information, perhaps with the suggested residues, might provide additional insight into therapeutic development strategies for COVID-19 and beyond.
SARS-CoV-2 的刺突蛋白对于病毒感染人类宿主细胞至关重要,这最终导致了 COVID-19。在这项研究中,我们分析了来自分子动力学的野生型刺突蛋白的二面角(phi 和 psi)随时间的行为,并确定它们的振荡主要由 23-63 MHz 范围内的几个离散的、相对较低的频率主导,其中 42.969 MHz 是最常见的振荡采样频率。因此,我们观察到刺突蛋白更喜欢某些频率,而不是其他频率。低频丰度氨基酸的所有观察到的频率计数中的间隙也表明,二面角振荡的频率分量可能是一级结构中位置的函数,因为相对较多的氨基酸缺乏间隙。最后,文献中确定为可成药口袋内部的某些残基,以及其他确定为别构位点的残基,在我们的数据中观察到具有独特的时域特征。这促使我们提出了具有类似时域特征的其他残基,这些残基可能对疫苗和药物设计社区具有潜在的研究兴趣。因此,这些发现表明,刺突蛋白在时域数据中隐藏着特定的频域特征,这些信息,也许伴随着建议的残基,可能为 COVID-19 及其后的治疗开发策略提供额外的见解。