Dynamics of molecular evolution
Physica D
Digital evolution in time-dependent fitness landscapes
Artificial Life
Error thresholds in genetic algorithms
Evolutionary Computation
Hi-index | 0.01 |
Based on a recent model of evolving viruses competing with an adapting immune system (Kamp and Bornholdt, Co-evolution of quasispecies: B-cell mutation rates maximize viral error catastrophes. Phys Rev Lett 88, 2002), we study the conditions under which a viral quasispecies can maximize its growth rate. We find that a virus is most viable if it generates on average precisely one mutation within the time it takes for the immune system to adapt to a new viral epitope. Experimental viral mutation rates, in particular for HIV (human immunodeficiency virus), seem to suggest that many viruses have achieved their optimal mutation rate.