论文标题
新兴的SARS-COV-2变体
Emerging dominant SARS-CoV-2 variants
论文作者
论文摘要
准确且可靠的预测出现的主要急性急性呼吸综合症冠状病毒2（SARS-COV-2）变体使决策者和疫苗制造商能够为将来的感染浪潮做好准备。由我们的人工智能（AI）模型准确预测了由主导变体（BA.1），BA.2和BA.4/BA.5引起的SARS-COV-2感染的最后三波，由生物物理学，病毒基因组的基因组化，实验数据，Algebraic togely和深度学习。根据新可用的实验数据，我们分析了所有可能的病毒峰值蛋白受体结合结构域（RBD）突变对SARS-COV-2感染性的影响。我们的分析阐明了病毒进化机制，即通过增强感染性和抗体抗性的自然选择。我们预测，BA.2.10.4，BA.2.75，BQ.1.1，尤其是BA.2.75+R346T，具有很高的潜力，可以成为推动下一次激增的新的主导变体。
Accurate and reliable forecasting of emerging dominant severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants enables policymakers and vaccine makers to get prepared for future waves of infections. The last three waves of SARS-CoV-2 infections caused by dominant variants Omicron (BA.1), BA.2, and BA.4/BA.5 were accurately foretold by our artificial intelligence (AI) models built with biophysics, genotyping of viral genomes, experimental data, algebraic topology, and deep learning. Based on newly available experimental data, we analyzed the impacts of all possible viral spike (S) protein receptor-binding domain (RBD) mutations on the SARS-CoV-2 infectivity. Our analysis sheds light on viral evolutionary mechanisms, i.e., natural selection through infectivity strengthening and antibody resistance. We forecast that BA.2.10.4, BA.2.75, BQ.1.1, and particularly, BA.2.75+R346T, have high potential to become new dominant variants to drive the next surge.
