Spatial Jump Process Models for Estimating Antibody-Antigen Interactions
Samuel Isaacson (Boston University, Mathematics and Statistics)
- Surface Plasmon Resonance (SPR) assays are a standard approach for quantifying kinetic parameters in antibody-antigen binding reactions. Classical SPR approaches ignore the bivalent structure of antibodies, and use simplified ODE models to estimate effective reaction rates for such interactions. In this work we develop a new SPR protocol, coupling a model that explicitly accounts for the bivalent nature of such interactions and the limited spatial distance over which such interactions can occur, to a SPR assay that provides more features in the generated data. Our approach allows the estimation of bivalent binding kinetics and the spatial extent over which antibodies and antigens can interact, while also providing substantially more robust fits to experimental data compared to classical bivalent ODE models. I will present our new modeling and parameter estimation approach, and demonstrate how it is being used to study interactions between antibodies and spike protein. I will also explain how we make the overall parameter estimation problem computationally feasible via the construction of a surrogate approximation to the (computationally-expensive) particle model. The latter enables fitting of model parameters via standard optimization approaches.
TBA
Mansoor Haider (North Carolina State University, Mathematics)
- TBA
TBA
Jeseth Delgado Vela (Duke University, Civil and Environmental Engineering)
- TBA
TBA
Dominic LaBella and Christina Huang (Duke University School of Medicine, Radiation Oncology)
- TBA