Department of Engineering Science and Ocean Engineering, National Taiwan University, Taipei, Taiwan 10617.
Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Zhunan, Taiwan 35053.
Nanoscale. 2022 Jun 16;14(23):8291-8305. doi: 10.1039/d2nr01385a.
The envelope (E) protein encoded in the genome of an RNA virus is crucial for the replication, budding and pathophysiology of the virus. In the light of the ongoing pandemic, we explored similarities/differences between SARS-CoV-1 and SARS-CoV-2 E protein ion channels in terms of their selectivity. Further, we also examined the impact of variation of the bath concentration and introduction of potential and concentration gradients across the channel on the binding ratios of sodium and chloride ions for the SARS-CoV-2 E protein. Ion transport is described through the fourth-order Poisson-Nernst-Planck-Bikerman (4PNPBik) model which generalizes the traditional model by including ionic interactions between ions and their surrounding medium and non-ionic interactions between particles due to their finite size. Governing equations are solved numerically using the immersed boundary-lattice Boltzmann method (IB-LBM). The mathematical model has been validated by comparing analytical and experimental ion activity. The SARS-CoV-1 E protein ion channel is found to be more permeable to cationic ions, while the SARS-CoV-2 E protein has similar selectivity for both cationic and anionic species. For SARS-CoV-2, an increase in the bath concentration results in an increase in the binding ratio for sodium ions. Furthermore, the chloride binding ratio increases as the concentration gradient increases. A potential gradient has a minimal effect on the binding ratio. The SARS-CoV-2 E protein was found to support higher ionic currents than the SARS-CoV-1 E protein. Furthermore, the ionic current increased with increasing bath concentrations.
病毒基因组编码的包膜(E)蛋白对于病毒的复制、出芽和病理生理学至关重要。鉴于目前的大流行,我们探讨了 SARS-CoV-1 和 SARS-CoV-2 E 蛋白离子通道在选择性方面的相似之处/差异。此外,我们还研究了浴液浓度的变化以及在通道内引入潜在和浓度梯度对 SARS-CoV-2 E 蛋白钠离子和氯离子结合比的影响。离子传输通过四阶泊松-纳恩斯-普朗克-比克曼(4PNPBik)模型来描述,该模型通过包括离子与其周围介质之间的离子相互作用以及由于其有限大小而导致的粒子之间的非离子相互作用,对传统模型进行了推广。控制方程通过浸入边界-格子玻尔兹曼方法(IB-LBM)进行数值求解。该数学模型通过比较分析和实验离子活度进行了验证。发现 SARS-CoV-1 E 蛋白离子通道对阳离子的通透性更高,而 SARS-CoV-2 E 蛋白对阳离子和阴离子具有相似的选择性。对于 SARS-CoV-2,浴液浓度的增加会导致钠离子的结合比增加。此外,随着浓度梯度的增加,氯离子的结合比增加。电势梯度对结合比的影响最小。发现 SARS-CoV-2 E 蛋白比 SARS-CoV-1 E 蛋白支持更高的离子电流。此外,离子电流随浴液浓度的增加而增加。