Microbial Resource and Big Data Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Chinese National Microbiology Data Center (NMDC), Beijing 100101, China.
Nucleic Acids Res. 2022 Jan 7;50(D1):D888-D897. doi: 10.1093/nar/gkab921.
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.
SARS-CoV-2 的基因组变异不断出现并在全球范围内传播。一些突变株表现出更高的传染性和毒力，这可能导致疫苗提供的保护作用降低。因此，有必要持续监测和分析 SARS-CoV-2 基因组的基因组变异情况。我们建立了一个评估和预警系统，即 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，以实现对突变株所带来风险的快速评估。从基因组学和结构生物学的角度来看，该数据库全面分析了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。基于人工智能的算法用于验证这些基因组学和结构生物学特征量在风险预测中的有效性。这个分类器可以进一步用于根据传染性和对中和抗体的亲和力对病毒株进行分组。这个独特的资源使得快速评估关键位点的变异风险成为可能，并为疫苗和药物的研发提供指导。该数据库可在 www.nmdc.cn/ncovn 免费获取。
