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T3SS_prediction specifications


Unique identifier OMICS_19730
Name T3SS_prediction
Interface Web user interface
Restrictions to use None
Programming languages Python
Computer skills Basic
Stability No
Maintained No

Publication for T3SS_prediction

T3SS_prediction citations


Computational Identification and Comparative Analysis of Secreted and Transmembrane Proteins in Six Burkholderia Species

PMCID: 5378436
PMID: 28381962
DOI: 10.5423/PPJ.OA.11.2016.0252

[…] secretomep server, which is used widely to predict secreted proteins, especially the ncsps. with an s-score ≥ 0.5 (http://www.cbs.dtu.dk/services/secretomep/) (). in addition, the effectivet3 () and t3ss_prediction () servers were used to recognize potential type 3 effectors, which are ncsps that are possibly secreted through the t3ss pathway, and are termed as type 3 non-classically secreted […]


Comparative genomic analysis of clinical and environmental strains provides insight into the pathogenicity and evolution of Vibrio parahaemolyticus

PMCID: 4320434
PMID: 25518728
DOI: 10.1186/1471-2164-15-1135

[…] could regulate t3ss genes to modulate bacterial virulence [], we analyzed sequences in this genomic island to determine whether there is any t3ss secreted protein. using a combination of available t3ss prediction tools including t3_mm [], effective t4 [], and t3ss effector prediction [], we found that the third protein in this genomic island showed positive results in all of the prediction […]


Clustering subspecies of Aeromonas salmonicida using IS630 typing

PMCID: 3608246
PMID: 23406017
DOI: 10.1186/1471-2180-13-36

[…] 0.5% optimization, 0% band filtering, 0.5% tolerance and ignore uncertain bands., prediction of t3ss effectors was performed with the modlab® online software (http://gecco.org.chemie.uni-frankfurt.de/t3ss_prediction/t3ss_prediction.html) []., the stability of is630 under growth conditions in tsb medium was assessed by daily 100x dilution of a culture of strain jf2267 at 18°c and at 25°c during 4 d […]


Functional and Computational Analysis of Amino Acid Patterns Predictive of Type III Secretion System Substrates in Pseudomonas syringae

PMCID: 3338616
PMID: 22558318
DOI: 10.1371/journal.pone.0036038

[…] algorithms, our method is based on an information theory approach. the performance of our algorithm was analyzed in p. syringae and other bacteria with t3sss, and in comparison to other t3ss prediction models. we show that our computational algorithm is a useful tool for recognizing t3ss substrates in three plant pathogens., despite the value of the characteristic t3ss targeting […]

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T3SS_prediction institution(s)
Johann Wolfgang Goethe-University, Chair for Chem- and Bioinformatics, Frankfurt, Germany
T3SS_prediction funding source(s)
Supported by the Centre for Membrane Proteomics and the Beilstein-Institut zur Forderung der Chemischen Wissenschaften.

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