title: Identification of legionella effectors using bioinformatic approaches.
abstract: Legionella pneumophila the causative agent of Legionnaires' disease, actively manipulates host cell processes to establish a replication niche inside host cells. The establishment of its replication niche requires a functional Icm/Dot type IV secretion system which translocates about 300 effector proteins into host cells during infection. Many of these effectors were first identified as effector candidates by several bioinformatic approaches, and these predicted effectors were later examined experimentally for translocation and a large number of which were validated as effector proteins. Here, I summarized the bioinformatic approaches that were used to identify these effectors.
authors.affiliation: George S. Wise Faculty of Life Sciences, Department of Molecular MIcrobiology and Biotechnology, Tel-Aviv University, Ramat-Aviv, Israel. gils@tauex.tau.ac.il
authors.forename: Gil
authors.initials: G
authors.lastname: Segal
mesh_terms: D001185:Artificial Intelligence; D001426:Bacterial Proteins / Q000235:genetics* / Q000378:metabolism*; D058947:Bacterial Secretion Systems; D019295:Computational Biology / Q000379:methods*; D015964:Gene Expression Regulation, Bacterial; D016952:Legionella pneumophila / Q000235:genetics* / Q000378:metabolism*; D021381:Protein Transport; D012045:Regulatory Sequences, Nucleic Acid; D015203:Reproducibility of Results; D015398:Signal Transduction
chemical_list: D001426:Bacterial Proteins; D058947:Bacterial Secretion Systems