title: In silico identification and characterization of effector catalogs.
abstract: Many characterized fungal effector proteins are small secreted proteins. Effectors are defined as those proteins that alter host cell structure and/or function by facilitating pathogen infection. The identification of effectors by molecular and cell biology techniques is a difficult task. However, with the availability of whole-genome sequences, these proteins can now be predicted in silico. Here, we describe in detail how to identify and characterize effectors from a defined fungal proteome using in silico techniques.
authors.affiliation: Laboratory of Phytopathology, Wageningen University, Wageningen, The Netherlands. ronnie.deJonge@wur.nl
authors.forename: Ronnie
authors.initials: R
authors.lastname: de Jonge
mesh_terms: D000818:Animals; D005656:Fungal Proteins / Q000378:metabolism*; D005658:Fungi / Q000502:physiology*; D023281:Genomics / Q000379:methods; D054884:Host-Pathogen Interactions; D040901:Proteomics / Q000379:methods*; D012984:Software
chemical_list: D005656:Fungal Proteins