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We model the reversion of productively infected cells to latency at a rate proportional to α R, while latently infected cells may reactivate at a rate proportional to α Q. Productively infected and latently infected cells each have intrinsic death rates represented by d P, and d L, respectively.
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Of the three models corresponding to the reversion hypothesis (R models), only one, R2, was supported by both criteria.
We evaluated 15 models of population structure, twelve models corresponding to the hypothesis that the two mimetic lineages, L. astyanax and L. arizonensis, are monophyletic ('MM' models, figure 1b), and three models corresponding to the reversion hypothesis, in which the mimetic L. a. astyanax is most closely related to the non-mimetic L. a. arthemis ('R' models, figure 1a).
Following M184V, the model of reversion divides in two branches, one consisting of M41L, T215Y and L210W (branch 1) and the other branch consisting of K103N, K219Q and other RT mutations (branch 2).
This cell line constitutes a good model system for studying IGC, because the reversion of an Ig frameshift mutation is AID-dependent and can be monitored at the cellular level by flow cytometry of surface Ig positive cells [34], [35].
By accounting for adherence patterns, pharmacokinetics, and the competition between quasispecies at time-varying drug concentrations, we were able to model the dependence of resistance and reversion rates on heterogeneities in host immunity and patterns of drug adherence.
We also used mixed models to test the dietary effects on the reversion of the MetS according to genotype groups over the 2-year intervention.
We then used mixed models to examine the dietary effects on the reversion of the MetS over the 2-year intervention (Fig. 2).
A model including reversion to susceptible state fitted the data nicely.
Using a survival analysis model, Trignetti et al. did not find a pattern in the reversion of RT mutations during treatment interruption [21].
Peptides are naturally produced from the reversion of azacylols, a key prediction of the cyclol model.
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