Mathematical modelling is becoming an increasingly important part of
life sciences. This thesis deals with a mechanistic biological model
of binding between two kinds of antibodies and the FcγRIIIa
receptor. Our goal was to develop a method that would determine the
model parameters to match experimental data. The best method turned
out to be the Levenberg-Marquardt algorithm, which is surprisingly
reliable and fitted the model to the data well. The results give us an
estimate of important physical parameters of the antibody that can
be useful in the characterization of a biopharmaceutical
drug.
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