Multi-Scale Modeling of HIV Infection in vitro and APOBEC3G-Based Anti-Retroviral Therapy
Figure 5
Estimation of A3G and Vif production rates.
(A) shows the optimum PA3G for the ΔVif case (PVif = 0), whereas (B) shows the fitness error heat-map for a wide range of values of (PVif, PA3G) for the WT case. The error decreases as color changes from dark red to dark blue. The optimum PA3G can be read from (A) and projected to the dark blue region of (B) to find the optimum PVif. The experimental data from Sheehy et al. [11] were used for estimating PVif and PA3G is re-plotted as blue bars for (C) WT and (D) ΔVif viruses. The red bars show our predictions of percentage of CAT cells infected by using estimated PA3G and PVif in our simulations. All the results in (A) and (B) are obtained for kA3G.HIV = 50 µM−1/hr. The optimum values of (E) PVif and (F) PA3G versus kA3G.HIV are also shown.