抗病毒变异的抗病毒药物耐药性:SARS-CoV-2的实践和策略

Q2 Mathematics
R. Penner
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引用次数: 6

摘要

Moderna、BioNTech/Pfizer和Oxford/Astrazeneca等公司开发的工具为以前存在问题的药物或疫苗递送、摄取和毒性方面提供了通用解决方案,预示着整个医学科学的新工具。提出了一种基于蛋白质骨架自由能几何估计的抗病毒靶点、抗原和疫苗载体的预测方法。鉴于最近关于SARS-CoV-2刺突糖蛋白及其在多个谱系中的突变的结构数据的激增,对该方法进行了审查和重新制定。主要发现包括:诱变残留物的收集在菌株之间重复出现,表明合作趋同进化;大多数诱变残基不参与主氢键;糖蛋白的亚稳态通过突变限制了自由能的变化,从而限制了选择压力;并且有mRNA或病毒载体货物靶向接近保守的高自由能肽的低自由能肽,提供比全刺突方法更特异性的疫苗配方。这些结果有助于限制刺突糖蛋白中具有高诱变潜力的肽,从而为病毒及其伴随的疫苗进化提供先验约束。最后讨论了核酸治疗和疫苗开发和部署面临的科学和监管挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Antiviral Resistance against Viral Mutation: Praxis and Policy for SARS-CoV-2
Abstract Tools developed by Moderna, BioNTech/Pfizer, and Oxford/Astrazeneca, among others, provide universal solutions to previously problematic aspects of drug or vaccine delivery, uptake and toxicity, portending new tools across the medical sciences. A novel method is presented based on estimating protein backbone free energy via geometry to predict effective antiviral targets, antigens and vaccine cargos that are resistant to viral mutation. This method is reviewed and reformulated in light of the recent proliferation of structural data on the SARS-CoV-2 spike glycoprotein and its mutations in multiple lineages. Key findings include: collections of mutagenic residues reoccur across strains, suggesting cooperative convergent evolution; most mutagenic residues do not participate in backbone hydrogen bonds; metastability of the glyco-protein limits the change of free energy through mutation thereby constraining selective pressure; and there are mRNA or virus-vector cargos targeting low free energy peptides proximal to conserved high free energy peptides providing specific recipes for vaccines with greater specificity than the full-spike approach. These results serve to limit peptides in the spike glycoprotein with high mutagenic potential and thereby provide a priori constraints on viral and attendant vaccine evolution. Scientific and regulatory challenges to nucleic acid therapeutic and vaccine development and deployment are finally discussed.
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来源期刊
Computational and Mathematical Biophysics
Computational and Mathematical Biophysics Mathematics-Mathematical Physics
CiteScore
2.50
自引率
0.00%
发文量
8
审稿时长
30 weeks
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