Department of Civil, Construction and Environmental Engineering, Marquette University, Milwaukee, Wisconsin, USA
Appl Environ Microbiol. 2021 Jan 15;87(3). doi: 10.1128/AEM.02319-20.
Much of virus fate, both in the environment and in physical/chemical treatment, is dependent on electrostatic interactions. Developing an accurate means of predicting virion isoelectric point (pI) would help to understand and anticipate virus fate and transport, especially for viruses that are not readily propagated in the lab. One simple approach to predicting pI estimates the pH at which the sum of charges from ionizable amino acids in capsid proteins approaches zero. However, predicted pIs based on capsid charges frequently deviate by several pH units from empirically measured pIs. Recently, the discrepancy between empirical and predicted pI was attributed to the electrostatic neutralization of predictable polynucleotide-binding regions (PBRs) of the capsid interior. In this paper, we review models presupposing (i) the influence of the viral polynucleotide on surface charge or (ii) the contribution of only exterior residues to surface charge. We then compare these models to the approach of excluding only PBRs and hypothesize a conceptual electrostatic model that aligns with this approach. The PBR exclusion method outperformed methods based on three-dimensional (3D) structure and accounted for major discrepancies in predicted pIs without adversely affecting pI prediction for a diverse range of viruses. In addition, the PBR exclusion method was determined to be the best available method for predicting virus pI, since (i) PBRs are predicted independently of the impact on pI, (ii) PBR prediction relies on proteome sequences rather than detailed structural models, and (iii) PBR exclusion was successfully demonstrated on a diverse set of viruses. These models apply to nonenveloped viruses only. A similar model for enveloped viruses is complicated by a lack of data on enveloped virus pI, as well as uncertainties regarding the influence of the phospholipid envelope on charge and ion gradients.
病毒的命运在很大程度上取决于环境和物理/化学处理中的静电相互作用。开发一种准确预测病毒粒子等电点(pI)的方法有助于理解和预测病毒的命运和迁移,特别是对于那些不易在实验室中繁殖的病毒。一种简单的预测 pI 的方法是估计壳蛋白中可离子化氨基酸的电荷总和接近零时的 pH 值。然而,基于壳蛋白电荷预测的 pI 值通常与实验测量的 pI 值相差几个 pH 单位。最近,经验和预测 pI 之间的差异归因于壳内可预测的多核苷酸结合区(PBR)的静电中和。在本文中,我们回顾了假设(i)病毒多核苷酸对表面电荷的影响或(ii)仅外部残基对表面电荷的贡献的模型。然后,我们将这些模型与仅排除 PBR 的方法进行了比较,并假设了一种与该方法一致的概念性静电模型。PBR 排除法优于基于三维(3D)结构的方法,并解释了预测 pI 值的主要差异,而不会对广泛的病毒的 pI 值预测产生不利影响。此外,PBR 排除方法被确定为预测病毒 pI 的最佳方法,因为(i)PBR 是独立于对 pI 的影响进行预测的,(ii)PBR 预测依赖于蛋白质组序列而不是详细的结构模型,以及(iii)PBR 排除在一组多样化的病毒上得到了成功验证。这些模型仅适用于无包膜病毒。包膜病毒的类似模型由于缺乏包膜病毒 pI 的数据以及关于磷脂包膜对电荷和离子梯度的影响的不确定性而变得复杂。