On the Dynamics of Matrix Models for Immune Clonal Networks

We propose some new matrix models for clonal network dynamics that are typical simulating various biological clonal-type networks and study their to stable states. present a detailed description deduce the corresponding equations governing of immune systems on basis general gradient-type principles can be inherent wide class real living objects. Clonal special type modeled by symmetric projector variables, which simultaneously take into account both asymmetry mutual interaction adaptation states realized owing possible idiotypic suppressions. perform computer simulations model simple cases relatively low dimension paying attention amounts activated receptor strings within network.