The utilization of computational models in immunology dates from the birth of the science.
From the description of antibody–antigen binding to the structural models of receptors,
models are utilized to bring fundamental understandings of the processes together with
laboratory measurements to uncover implications of these data. In this review, an historical
view of the role of computational models in the immunology laboratory is presented, and
short mathematical descriptions are given of fundamental assays. In addition, the range of …