title: An approach to modelling in immunology.
abstract: Like most other fields in biology, immunology has been revolutionised by the techniques of molecular biology and the resulting explosion in available experimental data. It is argued that efforts to integrate the data to gain insight into how various subsystems in the immune system interact and function require mathematical modelling and computer simulation in close collaboration with experimentalists. This paper illustrates some of the techniques available for modelling immune systems, and highlights the issues that should be borne in mind by anyone starting down the modelling path.
authors.affiliation: CoMPLEX, University College London, UK.
authors.forename: A
authors.initials: A
authors.lastname: Yates
authors.forename: C C
authors.initials: CC
authors.lastname: Chan
authors.forename: R E
authors.initials: RE
authors.lastname: Callard
authors.forename: A J
authors.initials: AJ
authors.lastname: George
authors.forename: J
authors.initials: J
authors.lastname: Stark
mesh_terms: D000818:Animals; D002454:Cell Differentiation; D019295:Computational Biology; D003198:Computer Simulation; D006801:Humans; D007107:Immune System / Q000166:cytology / Q000276:immunology*; D007111:Immunity, Cellular; D007156:Immunologic Memory; D018448:Models, Immunological; D020239:Receptor Cross-Talk; D011948:Receptors, Antigen, T-Cell / Q000502:physiology; D018417:Th1 Cells / Q000166:cytology / Q000276:immunology; D018418:Th2 Cells / Q000166:cytology / Q000276:immunology
chemical_list: D011948:Receptors, Antigen, T-Cell