title: Computational modeling in systems biology.
abstract: Interactions among cellular constituents play a crucial role in overall cellular function and organization. These interactions can be viewed as being complementary to the usual "parts list" of genes and proteins and, in conjunction with the expression states of these parts, are key to a systems level understanding of the cell. Here, we review computational approaches to the understanding of the functional roles of cellular networks, ranging from "static" models of network topology to dynamical and stochastic simulations.
authors.affiliation: Keck Graduate Institute of Applied Life Sciences, Claremont, CA, USA.
authors.forename: Ravishankar R
authors.initials: RR
authors.lastname: Vallabhajosyula
authors.forename: Alpan
authors.initials: A
authors.lastname: Raval
mesh_terms: D000818:Animals; D003198:Computer Simulation; D053263:Gene Regulatory Networks; D006801:Humans; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D020411:Oligonucleotide Array Sequence Analysis; D049490:Systems Biology / Q000379:methods*