Rationally designing antisense therapy to keep up with evolving bacterial resistance - Fig 2

Therapy Failure Time for Randomly Constructed Specific Mutants Caption: a. Functional dependence of growth rate of pathogen vs number of mutations that inactivate entry mechanisms. Curves represent settings with maximum of 1,2,3,4, or 5 delivery mechanisms. b. shows mean-time of therapy failure for maximum of one to five entry mechanisms. Error bars are c. Histograms are number of computer experiments that resulted in indicated time to failure. d. shows the results for one delivery vehicles. e. for two. f. for three. g. for four. e. for five. Variables for effects of mutations on bacterial viability (as measured by growth rates) were chosen randomly, (by Method 1 as described in Methods Section) to span a wide range of possibilities. Bacterial generation time was 20 minutes. Simulated system was a monoculture with carrying capacity of 8x1011 bacteria. Total of 50000 computer experiments were done for 500 days, or time to failure, whichever came first.