Journal of Theoretical & Computational Science
Open Access
ISSN: 2376-130X
ISSN: 2376-130X
Albert A
Tanzania
Research Article
The Role of Genotype in the Predictability of Dynamical Behavior in Complex Model Gene Regulatory Networks
Author(s): Garte S and Albert A
Garte S and Albert A
Models of gene regulatory networks (GRN) have proven useful for understanding many aspects of the highly complex behavior of biological control networks. Randomly generated non-Boolean networks were used in experimental simulations to generate data on dynamic phenotypes as a function of several genotypic parameters. We hypothesized that the topological component of network genotype could be an obstacle to the discovery of mathematical formulas that can predict certain phenotypic parameters. Our data support that hypothesis. We quantitated the effect of topological genotype (TGE) and determined its influence on a number of dynamical phenotypes in simple and complex multi-gene networks. For situations where the TGE was low, it was possible to infer formulas to predict some phenotypes with good accuracy based on number of network genes, interaction density, and initial conditions. In add.. View More»
DOI:
10.4172/2376-130X.1000155