节点文献
一种通过代谢差异分析抑制SARS-CoV-2复制的靶点预测方法
Target prediction approach to inhibit SARS-CoV-2 replication based on metabolic difference analysis
【摘要】 提出一种通过代谢差异分析抑制新型冠状病毒(SARS-CoV-2)复制进程的靶点预测方法。该方法基于肺宿主细胞的基因表达数据,重建病毒入侵后宿主细胞代谢系统发生变化的部分网络模型,并通过单基因敲除和细胞毒性测试识别候选靶点。此外,分析抗病毒靶点对目前已知的多种SARS-CoV-2变体的稳健性。结果表明,D-丙氨酸是影响SARS-CoV-2复制的关键代谢物,且适用于当前所有的SARS-CoV-2变体。调控D-丙氨酸的基因PLPBP是主要的基因靶点。本文方法具有通用性,适用于现有病毒及宿主细胞,为应对病毒性疾病提供新思路。
【Abstract】 A target prediction approach to inhibit SARS-CoV-2 replication through metabolic difference analysis is presented.The approach is based on gene expression data from lung host cells, reconstructs a network model of the parts of the host cell metabolic system that are reprogrammed after viral invasion, and identifies candidate targets using single-gene knockout and cytotoxicity test. The robustness of antiviral targets against multiple currently known variants of SARS-CoV-2 is also analyzed. The results indicate that D-alanine is a key metabolite affecting SARS-CoV-2 replication and is applicable to all current SARS-CoV-2 variants. The gene regulating D-alanine(PLPBP) is the main gene target. The proposed approach is applicable to the existing viruses and host cells, providing new ideas for viral disease management.
【Key words】 COVID-19; SARS-CoV-2; metabolic difference analysis; target prediction;
- 【文献出处】 中国医学物理学杂志 ,Chinese Journal of Medical Physics , 编辑部邮箱 ,2023年12期
- 【分类号】TP18;R318
- 【下载频次】15