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dc.creatorNoffel Z.
dc.creatorDobrovolny H. M.
dc.date.accessioned2023-10-20T16:07:08Z
dc.date.available2023-10-20T16:07:08Z
dc.date.issued2023
dc.identifier.urihttps://doi.org/10.3934/mbe.2023564
dc.identifier.urihttps://repository.tcu.edu/handle/116099117/61275
dc.description.abstractDefective viral genomes (DVGs) are viral genomes that contain only a partial viral RNA and so cannot replicate within cells on their own. If a cell containing DVGs is subsequently infected with a complete viral genome, the DVG can then use the missing proteins expressed by the full genome in order to replicate itself. Since the cell is producing defective genomes, it has less resources to produce fully functional virions and thus release of complete virions is often suppressed. Here, we use data from challenge studies of respiratory syncytial virus (RSV) in healthy adults to quantify the effect of DVGs. We use a mathematical model to fit the data, finding that late onset of DVGs and prolonged DVG detection are associated with lower infection rates and higher clearance rates. This result could have implications for the use of DVGs as a therapeutic. ¿ 2023 the author(s)
dc.languageen
dc.publisherAmerican Institute of Mathematical Sciences
dc.sourceMathematical Biosciences and Engineering
dc.subjectdefective interfering particle
dc.subjectdefective viral genome
dc.subjectinfection rate
dc.subjectmathematical model
dc.subjectparameter estimation
dc.subjectrespiratory syncytial virus
dc.titleQuantifying the effect of defective viral genomes in respiratory syncytial virus infections
dc.typeArticle
dc.rights.licenseCC BY 4.0
local.collegeCollege of Science and Engineering
local.departmentPhysics and Astronomy
local.personsNoffel, Dobrovolny (PHYS)


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