Phillips J C, Moret Marcelo A, Zebende Gilney F, Chow Carson C
Department of Physics and Astronomy, Rutgers University, Piscataway, NJ 08854, United States of America.
SENAI CIMATEC Salvador, BA, Brazil.
Physica A. 2022 Jul 15;598:127318. doi: 10.1016/j.physa.2022.127318. Epub 2022 Apr 12.
The novel coronavirus SARS CoV-2 responsible for the COVID-19 pandemic and SARS CoV-1 responsible for the SARS epidemic of 2002-2003 share an ancestor yet evolved to have much different transmissibility and global impact . A previously developed thermodynamic model of protein conformations hypothesized that SARS CoV-2 is very close to a new thermodynamic critical point, which makes it highly infectious but also easily displaced by a spike-based vaccine because there is a tradeoff between transmissibility and robustness . The model identified a small cluster of four key mutations of SARS CoV-2 that predicts much stronger viral attachment and viral spreading compared to SARS CoV-1. Here we apply the model to the SARS-CoV-2 variants Alpha (B.1.1.7), Beta (B.1.351), Gamma (P.1) and Delta (B.1.617.2) and predict, using no free parameters, how the new mutations will not diminish the effectiveness of current spike based vaccines and may even further enhance infectiousness by augmenting the binding ability of the virus.
引发新冠疫情的新型冠状病毒SARS-CoV-2与引发2002 - 2003年非典疫情的SARS-CoV-1拥有共同祖先,但在传播性和全球影响方面却有很大不同。之前开发的一种蛋白质构象热力学模型推测,SARS-CoV-2非常接近一个新的热力学临界点,这使其具有高传染性,但也容易被基于刺突蛋白的疫苗取代,因为在传播性和稳定性之间存在权衡。该模型确定了SARS-CoV-2的一小簇四个关键突变,与SARS-CoV-1相比,这些突变预示着更强的病毒附着和病毒传播能力。在此,我们将该模型应用于SARS-CoV-2变体阿尔法(B.1.1.7)、贝塔(B.1.351)、伽马(P.1)和德尔塔(B.1.617.2),在不使用任何自由参数的情况下预测,新的突变不会降低当前基于刺突蛋白的疫苗的有效性,甚至可能通过增强病毒的结合能力进一步提高传染性。