title: Network modeling to understand plant immunity.
abstract: Deciphering the networks that underpin complex biological processes using experimental data remains a significant, but promising, challenge, a task made all the harder by the added complexity of host-pathogen interactions. The aim of this article is to review the progress in understanding plant immunity made so far by applying network modeling algorithms and to show how this computational/mathematical strategy is facilitating a systems view of plant defense. We review the different types of network modeling that have been used, the data required, and the type of insight that such modeling can provide. We discuss the current challenges in modeling the regulatory networks that underlie plant defense and the future developments that may help address these challenges.
authors.affiliation: Department of Life Sciences, Imperial College London, SL5 7PY, United Kingdom; email: o.windram@imperial.ac.uk.
authors.forename: Oliver
authors.initials: O
authors.lastname: Windram
authors.forename: Christopher A
authors.initials: CA
authors.lastname: Penfold
authors.forename: Katherine J
authors.initials: KJ
authors.lastname: Denby
mesh_terms: D008954:Models, Biological; D010940:Plant Proteins / Q000378:metabolism; D010944:Plants / Q000276:immunology*; D011485:Protein Binding
chemical_list: D010940:Plant Proteins
keywords: gene regulatory networks; network inference; plant-pathogen interaction; protein-protein interactome; systems biology