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Novel type III effectors in pseudomonas aeruginosa
David Burstein
, Shirley Satanower
, Michal Simovitch
, Yana Belnik
, Meital Zehavi
, Gal Yerushalmi
, Shay Ben-Aroya
, Tal Pupko
, Ehud Banin
Research output
:
Contribution to journal
›
Article
›
peer-review
44
Scopus citations
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Keyphrases
Pseudomonas Aeruginosa (P. aeruginosa)
100%
Novel Types
100%
Type III Effector
100%
Type 3 Secretion System (T3SS)
44%
T3SS Effectors
33%
Host Cell
22%
Disease Severity
11%
Acute Infection
11%
Upstream Open Reading Frame (uORF)
11%
Virulence
11%
Bacterial Genomes
11%
Machine Learning Algorithms
11%
Bacterial Cells
11%
Chronic Infection
11%
Secretion Systems
11%
Patient Death
11%
Genomic Information
11%
Gram-negative
11%
Opportunistic Pathogens
11%
Pathogenic Bacteria
11%
Machine Learning Classification
11%
Effector Proteins
11%
Integrated Genomics
11%
Coding Genes
11%
P. Aeruginosa Infection
11%
Evasion Mechanism
11%
Learning Settings
11%
Pseudomonas Species
11%
Infections In Immunocompromised Hosts
11%
Toxic Protein
11%
Structural Complex
11%
ExoU
11%
ExoT
11%
ExoY
11%
Ranking Prediction
11%
Host Evasion
11%
Biochemistry, Genetics and Molecular Biology
Pseudomonas aeruginosa
100%
Type III Secretion System
90%
Infectious Agent
20%
Secretion (Process)
10%
Bacterial Genome
10%
Open Reading Frame
10%
Classification Algorithm
10%
Pseudomonas
10%
Genomics
10%
Immunology and Microbiology
Pseudomonas aeruginosa
100%
Infection
30%
Infectious Agent
20%
Host Cell
20%
Type Three Secretion System
20%
Secretion (Process)
10%
Open Reading Frame
10%
Bacterial Cell
10%
Immunocompromised Patient
10%
Pseudomonas
10%
Bacterial Genome
10%
Classification Algorithm
10%