I still don't understand. What is wrong with the mechanism of double stranded breaks leading to cell death and/or growth arrest? Also, it is 100% possible to c

I still don't understand. What is wrong with the mechanism of double stranded breaks leading to cell death and/or growth arrest? Also, it is 100% possible to create a testable model of something at the level of toxicity without knowing the details of the toxicity. I mean, here would be a simple one (written in R) where the wild type cells divide at 1/10th the rate of the mutants for some reason, so the mutants take over the population: # Basic parameters of the cell culture Ntotal = 10^8 # Initial total number of cells Pmut0 = 0.001 # Propotion pre-existing mutants Rdiv_wt = 0.1 # Divisions/day Rdiv_mut = 1.0 # Divisions/day # Calculate initial numbers of WT and mutant cells Nwt0 = Ntotal*(1-Pmut0) Nmut0 = Ntotal*Pmut0 # Convert between days and divisions t = 0:15 Dwt = Rdiv_wt*t Dmut = Rdiv_mut*t # Calculate number of cells at each timepoint Nt_wt = Nwt0*2^Dwt Nt_mut = Nmut0*2^Dmut # Calculate proportion of mutant cells in population at each timepoint Pt_mut = Nt_mut/(Nt_wt + Nt_mut) # Plot proportion of mutants vs time plot(t, Pt_mut, type = "b", panel.first = grid(), xlab = "Days Since Treatment", ylab = "Proportion of Mutant Cells") If the parameters are known accurately enough (initial number of cells, initial proportion of mutants, division rates, etc) this is a perfectly testable quantitative model.