Modeling Signal Transduction Involving G Protein Coupled Receptors by Genetic Algorithm and Nonlinear Spatiotemporal Analysis

摘要

In this paper, modeling of the signal transduction process involving G proteins is done with the utilization of genetic algorithm and a weakly nonlinear analysis. Equations which govern the interaction between an inhibitor protein and the ligand-receptor complexes are written and fitted with experimental data of cAMP levels expressed at different elapsed times, in the case that the homogeneous distribution of ligand-receptor complexes is assumed over the surface membrane. The model is then modified to incorporate reaction-diffusion mechanisms whereby the ligand-receptor complexes and the inhibiting agents in the process may diffuse over the cell membrane. We investigate the formation of Turing-type patterns under certain conditions on the system parameters which characterize the formation of stationary symmetry breaking structures; stripes and hexagonal arrays of spots or nets over the cell membrane.