VarEPS: an evaluation and prewarning system of known and virtual variations of SARS-CoV-2 genomes
| Autor: | Yingfeng Luo, Jianxun Qi, Shenghan Gao, Zhihong Shen, Zhengfei Yu, Chang Shu, Xinjiao Zhang, Jingyi Nie, Fan Guomei, Linhuan Wu, Wenyu Shi, Songnian Hu, Yuhai Bi, Jian Lu, Zhen Meng, Qihui Wang, Yuanchun Zhou, Qinglan Sun, Juncai Ma |
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| Rok vydání: | 2021 |
| Předmět: |
2019-20 coronavirus outbreak
Databases Factual Coronavirus disease 2019 (COVID-19) AcademicSubjects/SCI00010 SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) COVID-19 Virulence Genomics Genome Viral Computational biology Biology Antibodies Neutralizing Genome Transmissibility (vibration) Structural biology Artificial Intelligence Mutation Genetics Database Issue Humans Angiotensin-Converting Enzyme 2 Algorithms DNA Primers |
| Zdroj: | Nucleic Acids Research |
| ISSN: | 1362-4962 0305-1048 |
| DOI: | 10.1093/nar/gkab921 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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