Figure 2
Model verification via simulation. Bias and standard deviation landscapes of the posterior distributions upon increasing antibody binding probabilities, estimated from simulations to explore a range of experimental settings. Here, bias is the mean of the posterior distribution minus the true probability, while standard deviation refers to the standard deviation of the posterior distribution. (A) Bias and standard deviation as a function of the true binding probability, p, and the proportion of AbB molecules included, \(f_l\). The number of viruses used in an experiment, V, is fixed at 4000. (B–D) For a fixed value of \(f_l\) (0.001, 0.01, and 0.1, respectively), bias and standard deviation are shown as a function of p and V. In each case \(n_{\text {sat}}\)=205; this is a reasonable upper limit for AdV-9C12 stoichiometry based on previous estimates.
