Warning! Found 6 non-fixable id collusion: BPG, P3G, time, PGKyeastNoRecycling_time, PGKyeastRecycling_time_R, task1_model1_kouril4_time
Info! Removed 15 unused DataGenerator from this document
 Edit

rong2007a_Fig2AandB

1

3

Model Manuscripts

Modeling within-host HIV-1 dynamics and the evolution of drug resistance: trade-offs between viral enzyme function and drug susceptibility.

  • Libin Rong
  • Michael A Gilchrist
  • Zhilan Feng
  • Alan S Perelson
J. Theor. Biol. 2007; 247 (4): 804-818
Abstract
There are many biological steps between viral infection of CD4(+) T cells and the production of HIV-1 virions. Here we incorporate an eclipse phase, representing the stage in which infected T cells have not started to produce new virus, into a simple HIV-1 model. Model calculations suggest that the quicker infected T cells progress from the eclipse stage to the productively infected stage, the more likely that a viral strain will persist. Long-term treatment effectiveness of antiretroviral drugs is often hindered by the frequent emergence of drug resistant virus during therapy. We link drug resistance to both the rate of progression of the eclipse phase and the rate of viral production of the resistant strain, and explore how the resistant strain could evolve to maximize its within-host viral fitness. We obtained the optimal progression rate and the optimal viral production rate, which maximize the fitness of a drug resistant strain in the presence of drugs. We show that the window of opportunity for invasion of drug resistant strains is widened for a higher level of drug efficacy provided that the treatment is not potent enough to eradicate both the sensitive and resistant virus.
Id Name JWS model
model0_rong1 rong1 rong1
model1_rong1 rong1 rong1
model2_rong1 rong1 rong1
model3_rong1 rong1 rong1
Id Name Source Number of Data Sources
Id Name Model Simulation Simulation Simulation
task0_model0_rong1 rong1 0.0 600.0 1000
task1_model1_rong1 rong1 0.0 600.0 1000
task2_model2_rong1 rong1 0.0 600.0 1000
task3_model3_rong1 rong1 0.0 600.0 1000

2D Plots

Id Name Number of Curves
Figure2A Figure 2A 0
Figure2B Figure 2B 0

CSV Reports

Id Name Number of Columns