A multivalent binding model infers antibody Fc species from systems serology
Fig 2
The binding model accurately infers antibody Fc abundances from synthetic data.
(a) Each Fc species was assigned a random abundance. These abundances were used to generate synthetic detection signals which were then used to infer the original antibody abundances. (b), (c) Initial versus inferred antibody abundance (b) without and (c) with added detection signal noise. (d), (e) The coefficient of determination between the initial and inferred antibody abundances versus the amount of noise added to the (d) detection signals or (e) binding affinities. (f) Each binding affinity was individually perturbed by 30% up and down. The set of affinities with this perturbed affinity was used when computing synthetic signals for randomly generated initial antibody abundances, and the set with the unperturbed affinity for inferring antibody abundances from the synthetic signals. The sensitivity of the inferences to perturbations of this binding affinity was computed as one minus the agreement (R2) between the inferred and initial antibody abundances, shown separately for each species.