Cargando…
Genome-Scale Identification of Legionella pneumophila Effectors Using a Machine Learning Approach
A large number of highly pathogenic bacteria utilize secretion systems to translocate effector proteins into host cells. Using these effectors, the bacteria subvert host cell processes during infection. Legionella pneumophila translocates effectors via the Icm/Dot type-IV secretion system and to dat...
Autores principales: | Burstein, David, Zusman, Tal, Degtyar, Elena, Viner, Ram, Segal, Gil, Pupko, Tal |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2701608/ https://www.ncbi.nlm.nih.gov/pubmed/19593377 http://dx.doi.org/10.1371/journal.ppat.1000508 |
Ejemplares similares
-
Identification of Two Legionella pneumophila Effectors that Manipulate Host Phospholipids Biosynthesis
por: Viner, Ram, et al.
Publicado: (2012) -
The Legionella genus core effectors display functional conservation among orthologs by themselves or combined with an accessory protein
por: Wexler, Michael, et al.
Publicado: (2022) -
Affecting the Effectors: Regulation of Legionella pneumophila Effector Function by Metaeffectors
por: Joseph, Ashley M., et al.
Publicado: (2021) -
Using an optimal set of features with a machine learning-based approach to predict effector proteins for Legionella pneumophila
por: Esna Ashari, Zhila, et al.
Publicado: (2019) -
Evolution of the Arsenal of Legionella pneumophila Effectors To Modulate Protist Hosts
por: Best, Ashley, et al.
Publicado: (2018)