title: Algebraic models of biochemical networks.
abstract: With the rise of systems biology as an important paradigm in the life sciences and the availability and increasingly good quality of high-throughput molecular data, the role of mathematical models has become central in the understanding of the relationship between structure and function of organisms. This chapter focuses on a particular type of models, so-called algebraic models, which are generalizations of Boolean networks. It provides examples of such models and discusses several available methods to construct such models from high-throughput time course data. One specific such method, Polynome, is discussed in detail.
authors.affiliation: Virginia Bioinformatics Institute at Virginia Tech, Blacksburg, Virginia, USA.
authors.forename: Reinhard
authors.initials: R
authors.lastname: Laubenbacher
authors.affiliation: Virginia Bioinformatics Institute at Virginia Tech, Blacksburg, Virginia, USA.
authors.forename: Abdul Salam
authors.initials: AS
authors.lastname: Jarrah
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D025461:Feedback, Physiological; D053263:Gene Regulatory Networks; D007763:Lac Operon; D008954:Models, Biological; D008962:Models, Theoretical; D015398:Signal Transduction; D013269:Stochastic Processes