ArticleNucleic acids research2024
COV2Var, a function annotation database of SARS-CoV-2 genetic variation.
Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- An Italian Single-Center Genomic Surveillance Study: Two-Year Analysis of SARS-CoV-2 Spike Protein Mutations.International journal of molecular sciences · 2025Article
- Characterization of SARS-CoV-2 intrahost genetic evolution in vaccinated and non-vaccinated patients from the Kenyan population.Journal of virology · 2025Article
- The NSP6-L260F substitution in SARS-CoV-2 BQ.1.1 and XBB.1.16 lineages compensates for the reduced viral polymerase activity caused by mutations in NSP13 and NSP14.Journal of virology · 2025Article
- Restoring flowcell type and basecaller configuration from FASTQ files of nanopore sequencing data.Nature communications · 2025Article
- VITALdb: to select the best viroinformatics tools for a desired virus or application.Briefings in bioinformatics · 2025Article
- GRAMEP: an alignment-free method based on the maximum entropy principle for identifying SNPs.BMC bioinformatics · 2025Article
- AnnCovDB: a manually curated annotation database for mutations in SARS-CoV-2 spike protein.Database : the journal of biological databases and curation · 2025Article
- The role of intrinsically disordered regions of SARS-CoV-2 nucleocapsid and non-structural protein 1 proteins.Frontiers in chemistry · 2025Review
- The RdRp genotyping of SARS-CoV-2 isolated from patients with different clinical spectrum of COVID-19.BMC infectious diseases · 2024Article
- Multiple Lines of Evidence Support 199 SARS-CoV-2 Positively Selected Amino Acid Sites.International journal of molecular sciences · 2024Article
- The 2024 Nucleic Acids Research database issue and the online molecular biology database collection.Nucleic acids research · 2024Article
- Emergence of Omicron FN.1 a descendent of BQ.1.1 in Botswana.Virus evolution · 2024Article
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Authors and funding
8 authors.
Funding
Abstract
The COVID-19 pandemic, caused by the coronavirus SARS-CoV-2, has resulted in the loss of millions of lives and severe global economic consequences. Every time SARS-CoV-2 replicates, the viruses acquire new mutations in their genomes. Mutations in SARS-CoV-2 genomes led to increased transmissibility, severe disease outcomes, evasion of the immune response, changes in clinical manifestations and reducing the efficacy of vaccines or treatments. To date, the multiple resources provide lists of detected mutations without key functional annotations. There is a lack of research examining the relationship between mutations and various factors such as disease severity, pathogenicity, patient age, patient gender, cross-species transmission, viral immune escape, immune response level, viral transmission capability, viral evolution, host adaptability, viral protein structure, viral protein function, viral protein stability and concurrent mutations. Deep understanding the relationship between mutation sites and these factors is crucial for advancing our knowledge of SARS-CoV-2 and for developing effective responses. To fill this gap, we built COV2Var, a function annotation database of SARS-CoV-2 genetic variation, available at http://biomedbdc.wchscu.cn/COV2Var/. COV2Var aims to identify common mutations in SARS-CoV-2 variants and assess their effects, providing a valuable resource for intensive functional annotations of common mutations among SARS-CoV-2 variants.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.