December 9, 2010PLoS Computational BiologyOpen Access

Sequence-Based Prediction for Vaccine Strain Selection and Identification of Antigenic Variability in Foot-and-Mouth Disease Virus

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Population

20 SAT1 and 22 SAT2 foot-and-mouth disease virus (FMDV) isolates

Comparison

Sequence-based prediction using linear mixed… vs Standard serology (virus neutralization tests)

Design

Preclinical

Authors

RRRichard ReeveUniversity of Stirling BBBelinda BlignautOnderstepoort Veterinary Academic Hospital JEJ J EsterhuysenOnderstepoort Veterinary Institute

Discussion

Member takes

Implication

May guide FMDV vaccine selection in animals; leaves open prospective validation before replacing serology.

Structured PICO

Population

20 SAT1 and 22 SAT2 foot-and-mouth disease virus (FMDV) isolates

Intervention

Sequence-based prediction using linear mixed effects models based on viral sequences and structural data

Comparator

Standard serology (virus neutralization tests)

Outcome

Prediction of viral cross-protection (r1-values) and best vaccine matchsurrogate

A sequence-based computational model can predict viral cross-reactivity and vaccine match for foot-and-mouth disease virus as effectively as traditional serology.

Cite This Study

Reeve et al. (2010) studied this question.

synapsesocial.com/papers/6a7cf8687de23cd24e6f76bc https://doi.org/10.1371/journal.pcbi.1001027

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Sequence-Based Prediction for Vaccine Strain Selection and Identification of Antigenic Variability in Foot-and-Mouth Disease Virus

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Sequence-Based Prediction for Vaccine Strain Selection and Identification of Antigenic Variability in Foot-and-Mouth Disease Virus

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Also Consider

Also Consider