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VarEPS: an evaluation and prewarning system of known and virtual variations of SARS-CoV-2 genomes
Nucleic Acids Research ( IF 16.6 ) Pub Date : 2021-09-30 , DOI: 10.1093/nar/gkab921
Qinglan Sun 1, 2 , Chang Shu 1, 3 , Wenyu Shi 1, 2 , Yingfeng Luo 1, 3, 4 , Guomei Fan 1, 2 , Jingyi Nie 1, 3, 4 , Yuhai Bi 5 , Qihui Wang 5 , Jianxun Qi 5 , Jian Lu 6 , Yuanchun Zhou 7 , Zhihong Shen 7 , Zhen Meng 7 , Xinjiao Zhang 1, 2 , Zhengfei Yu 1, 2 , Shenghan Gao 1, 3 , Linhuan Wu 1, 2 , Juncai Ma 1, 2, 3 , Songnian Hu 1, 3, 4
Affiliation  

The genomic variations of SARS-CoV-2 continue to emerge and spread worldwide. Some mutant strains show increased transmissibility and virulence, which may cause reduced protection provided by vaccines. Thus, it is necessary to continuously monitor and analyze the genomic variations of SARS-COV-2 genomes. We established an evaluation and prewarning system, SARS-CoV-2 variations evaluation and prewarning system (VarEPS), including known and virtual mutations of SARS-CoV-2 genomes to achieve rapid evaluation of the risks posed by mutant strains. From the perspective of genomics and structural biology, the database comprehensively analyzes the effects of known variations and virtual variations on physicochemical properties, translation efficiency, secondary structure, and binding capacity of ACE2 and neutralizing antibodies. An AI-based algorithm was used to verify the effectiveness of these genomics and structural biology characteristic quantities for risk prediction. This classifier could be further used to group viral strains by their transmissibility and affinity to neutralizing antibodies. This unique resource makes it possible to quickly evaluate the variation risks of key sites, and guide the research and development of vaccines and drugs. The database is freely accessible at www.nmdc.cn/ncovn.

中文翻译:

VarEPS:SARS-CoV-2基因组已知和虚拟变异的评估和预警系统

SARS-CoV-2 的基因组变异继续出现并在全球范围内传播。一些突变株显示出增加的传播性和毒力,这可能导致疫苗提供的保护减少。因此,有必要持续监测和分析SARS-COV-2基因组的基因组变异。我们建立了评估和预警系统,SARS-CoV-2变异评估和预警系统(VarEPS),包括SARS-CoV-2基因组的已知和虚拟突变,以实现对突变株带来的风险的快速评估。该数据库从基因组学和结构生物学的角度,全面分析已知变异和虚拟变异对ACE2和中和抗体的理化性质、翻译效率、二级结构和结合能力的影响。使用基于人工智能的算法来验证这些基因组学和结构生物学特征量对风险预测的有效性。该分类器可进一步用于根据病毒株的传播性和对中和抗体的亲和力对病毒株进行分组。这种独特的资源可以快速评估关键部位的变异风险,指导疫苗和药物的研发。该数据库可在 www.nmdc.cn/ncovn 免费访问。指导疫苗和药物研发。该数据库可在 www.nmdc.cn/ncovn 免费访问。指导疫苗和药物研发。该数据库可在 www.nmdc.cn/ncovn 免费访问。
更新日期:2021-09-30
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