OPTIMIZATION OF EXPERIMENTS FOR IMPROVED ESTIMATION OF PROTEIN INTERACTION PARAMETERS

The emergence of surface plasmon resonance-based biosensors has facilitated the identification of kinetic parameters for macromolecular interactions. Normally, these parameters are computed from experiments with arbitrarily chosen periods of protein and buffer injections, and varying protein concentrations. Instead of choosing the above mentioned variables arbitrarily, in this paper, an optimization approach is used to determine them so as to reduce the experimentation time, while treating the required confidence level as constraints. It is shown using experimental data that the desired confidence is reached with a much shorter experiment, compared to the standard set of experiments typically performed.