Target prediction approach to inhibit SARS-CoV-2 replication based on metabolic difference analysis
10.3969/j.issn.1005-202X.2023.12.019
- VernacularTitle:一种通过代谢差异分析抑制SARS-CoV-2复制的靶点预测方法
- Author:
Yupeng QI
1
;
Yanlong ZHAO
;
Haoran ZHENG
Author Information
1. 中国科学技术大学计算机科学与技术学院,安徽合肥 230027
- Keywords:
COVID-19;
SARS-CoV-2;
metabolic difference analysis;
target prediction
- From:
Chinese Journal of Medical Physics
2023;40(12):1577-1584
- CountryChina
- Language:Chinese
-
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.
