Scaling law characterizing the dynamics of the transition of HIV-1 to error catastrophe
Increasing the mutation rate, of viruses above a threshold, has been predicted to trigger a catastrophic loss of viral genetic information and is being explored as a novel intervention strategy. Here, we examine the dynamics of this transition using stochastic simulations mimicking within-host HIV-1...
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| Veröffentlicht in: | Physical biology 2015-09, Vol.12 (5), p.054001-54006 |
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| container_title | Physical biology |
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| creator | Gupta, Vipul Dixit, Narendra M |
| description | Increasing the mutation rate, of viruses above a threshold, has been predicted to trigger a catastrophic loss of viral genetic information and is being explored as a novel intervention strategy. Here, we examine the dynamics of this transition using stochastic simulations mimicking within-host HIV-1 evolution. We find a scaling law governing the characteristic time of the transition: The law is robust to variations in underlying evolutionary forces and presents guidelines for treatment of HIV-1 infection with mutagens. We estimate that many years of treatment would be required before HIV-1 can suffer an error catastrophe. |
| doi_str_mv | 10.1088/1478-3975/12/5/054001 |
| format | Article |
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| ispartof | Physical biology, 2015-09, Vol.12 (5), p.054001-54006 |
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| source | MEDLINE; IOP Publishing Journals; Institute of Physics (IOP) Journals - HEAL-Link |
| subjects | Computer Simulation error catastrophe Evolution, Molecular HIV HIV Infections - genetics HIV Infections - therapy HIV Infections - virology HIV-1 - drug effects HIV-1 - genetics HIV-1 - physiology Humans Lentivirus Models, Genetic mutagen Mutagens - pharmacology Mutation Rate quasispecies scaling law Stochastic Processes Virus Replication - drug effects |
| title | Scaling law characterizing the dynamics of the transition of HIV-1 to error catastrophe |
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