Exact(4)
Current flu vaccines are based on killed or attenuated virus vaccines that must be altered each year to include the hemagglutinin and neuraminidase genes from a strain of virus predicted to predominate in the coming year.
The distributional area of monkeypox virus predicted by this model is based fundamentally on past identification and reporting of human cases.
For example, the 70 amino acids of UniProt: Q5QC64 from Monkeypox virus (predicted as 'High') was modeled as a knottin-related structure (using PDB 2B68 as a template).
The total amount of virus predicted to be left at the end of an outbreak increases with both virulence of the strain and cohort duration (Fig. 4).
Similar(56)
Current understanding of the pathophysiology of this virus predicts that seropositive animals periodically shed it through mucosal lesions (1, 17– 17).
Hierarchical clustering analysis of neutralization data of the panel viruses predicted phylogenetic relationships between subtype B and C panel viruses, suggesting some subtype-specific neutralization determinants.
The detection of viruses predicted to use CXCR4 (X4) co-receptor in both genital tract and blood viruses of our and others' subjects [15] suggests that X4 variants co-evolve or mix between the genital tract and blood, and importantly shows that similar to men [1], [50] X4 variants are not excluded from the genital tract of women.
Mutant Kunjin viruses predicted to have defective sfRNA formation during infection were generated by overlap extension PCR.
Thus, BspHI should cut only amplicons without mutation, i. e. amplicons from oseltamivir-sensitive A(H1N1) viruses (predicted size of the major digest product: 147 bp).
There was significant variability in the ability of the approaches to accurately predict CXCR4-usage in dual-tropic viruses, ranging from 40% (wetcat C4.5 with p8-p12) to 94% (Geno2pheno FPR20) of sequences from dual-tropic viruses predicted as CXCR4-using.
Current projects are focused on representation, modeling, inference and prediction from data such as determining how different people will respond to exposure to certain viruses, predicting rare events from small amounts of data, formulation and calculation of limits of learning from observations, and privacy and security for the Internet of Things.
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