title: In silico modeling of the immune system: cellular and molecular scale approaches.
abstract: The revolutions in biotechnology and information technology have produced clinical data, which complement biological data. These data enable detailed descriptions of various healthy and diseased states and responses to therapies. For the investigation of the physiology and pathology of the immune responses, computer and mathematical models have been used in the last decades, enabling the representation of biological processes. In this modeling effort, a major issue is represented by the communication between models that work at cellular and molecular level, that is, multiscale representation. Here we sketch some attempts to model immune system dynamics at both levels.
authors.affiliation: Department of Drug Sciences, University of Catania, V.le A. Doria 6, 95125 Catania, Italy.
authors.forename: Mariagrazia
authors.initials: M
authors.lastname: Belfiore
authors.affiliation: Department of Mathematics and Computer Science, University of Catania, V.le A. Doria 6, 95125 Catania, Italy.
authors.forename: Marzio
authors.identifier: 0000-0003-0231-7653
authors.initials: M
authors.lastname: Pennisi
authors.affiliation: Department of Drug Sciences, University of Catania, V.le A. Doria 6, 95125 Catania, Italy.
authors.forename: Giuseppina
authors.initials: G
authors.lastname: Aricò
authors.affiliation: Department of Drug Sciences, University of Catania, V.le A. Doria 6, 95125 Catania, Italy.
authors.forename: Simone
authors.initials: S
authors.lastname: Ronsisvalle
authors.affiliation: Department of Drug Sciences, University of Catania, V.le A. Doria 6, 95125 Catania, Italy.
authors.forename: Francesco
authors.identifier: 0000-0003-1668-3320
authors.initials: F
authors.lastname: Pappalardo
mesh_terms: D000818:Animals; D003198:Computer Simulation; D006801:Humans; D018448:Models, Immunological