Improved prediction of fungal effector proteins from secretomes with EffectorP 2.0
© 2018 BSPP and John Wiley & Sons Ltd Plant-pathogenic fungi secrete effector proteins to facilitate infection. We describe extensive improvements to EffectorP, the first machine learning classifier for fungal effector prediction. EffectorP 2.0 is now trained on a larger set of effectors and u...
| Main Authors: | Sperschneider, J., Dodds, P., Gardiner, D., Singh, Karam, Taylor, J. |
|---|---|
| Format: | Journal Article |
| Published: |
Wiley-Blackwell Publishing Ltd.
2018
|
| Online Access: | http://hdl.handle.net/20.500.11937/71996 |
Similar Items
EffectorP: Predicting fungal effector proteins from secretomes using machine learning
by: Sperschneider, J., et al.
Published: (2016)
by: Sperschneider, J., et al.
Published: (2016)
ApoplastP: Prediction of effectors and plant proteins in the apoplast using machine learning
by: Sperschneider, J., et al.
Published: (2017)
by: Sperschneider, J., et al.
Published: (2017)
LOCALIZER: Subcellular localization prediction of both plant and effector proteins in the plant cell
by: Sperschneider, J., et al.
Published: (2017)
by: Sperschneider, J., et al.
Published: (2017)
Comparative secretome analysis of Rhizoctonia solani isolates with different host ranges reveals unique secretomes and cell death inducing effectors
by: Anderson, J., et al.
Published: (2017)
by: Anderson, J., et al.
Published: (2017)
Advances and Challenges in Computational Prediction of Effectors from Plant Pathogenic Fungi
by: Sperschneider, J., et al.
Published: (2015)
by: Sperschneider, J., et al.
Published: (2015)
Evaluation of secretion prediction highlights differing approaches needed for oomycete and fungal effectors
by: Sperschneider, J., et al.
Published: (2015)
by: Sperschneider, J., et al.
Published: (2015)
Diversifying selection in the wheat stem rust fungus acts predominantly on pathogen-associated gene families and reveals candidate effectors
by: Sperschneider, J., et al.
Published: (2014)
by: Sperschneider, J., et al.
Published: (2014)
Prediction of New Fungal Pathogen Effector-like Proteins and Their
Molecular Interactions with Their Host
by: Rozano, Lina
Published: (2022)
by: Rozano, Lina
Published: (2022)
Variability in an effector gene promoter of a necrotrophic fungal pathogen dictates epistasis and effector-triggered susceptibility in wheat
by: John, Evan, et al.
Published: (2022)
by: John, Evan, et al.
Published: (2022)
Fungal plant pathogenesis mediated by effectors
by: De Wit, P., et al.
Published: (2016)
by: De Wit, P., et al.
Published: (2016)
Proteinaceous necrotrophic effectors in fungal virulence
by: Tan, Kar-Chun, et al.
Published: (2010)
by: Tan, Kar-Chun, et al.
Published: (2010)
Effector gene prediction from fungal pathogen genome assemblies
by: Testa, Alison Clare
Published: (2016)
by: Testa, Alison Clare
Published: (2016)
Bioinformatic prediction of plant–pathogenicity effector proteins of fungi
by: Jones, Darcy, et al.
Published: (2018)
by: Jones, Darcy, et al.
Published: (2018)
Sensitivity to three Parastagonospora nodorum necrotrophic effectors in current Australian wheat cultivars and the presence of further fungal effectors
by: Tan, Kar-Chun, et al.
Published: (2013)
by: Tan, Kar-Chun, et al.
Published: (2013)
Comparative analysis of the predicted secretomes of Rosaceae scab pathogens Venturia inaequalis and V. pirina reveals expanded effector families and putative determinants of host range
by: Deng, C., et al.
Published: (2017)
by: Deng, C., et al.
Published: (2017)
Differential effector gene expression underpins epistasis in a plant fungal disease.
by: Phan, Huyen, et al.
Published: (2016)
by: Phan, Huyen, et al.
Published: (2016)
Heterologous Expression of the Pyrenophora tritici-repentis Effector Proteins ToxA and ToxB, and the Prevalence of Effector Sensitivity in Australian Cereal Crops
by: Moffat, Caroline, et al.
Published: (2019)
by: Moffat, Caroline, et al.
Published: (2019)
A specific fungal transcription factor controls effector gene expression and orchestrates the establishment of the necrotrophic pathogen lifestyle on wheat
by: Jones, Darcy, et al.
Published: (2019)
by: Jones, Darcy, et al.
Published: (2019)
Host specific toxins; effectors of necrotrophic pathogenicity
by: Friesen, T., et al.
Published: (2008)
by: Friesen, T., et al.
Published: (2008)
Exploring the Zt3LysM effector in Zymoseptoria tritici, a fungal phytopathogen of wheat
by: Steel, Luca
Published: (2024)
by: Steel, Luca
Published: (2024)
Characterising candidate Fusarium graminearum effectors
by: Kanja, Claire
Published: (2023)
by: Kanja, Claire
Published: (2023)
Regulatory insight for a Zn2Cys6 transcription factor controlling effector-mediated virulence in a fungal pathogen of wheat
by: John, Evan, et al.
Published: (2024)
by: John, Evan, et al.
Published: (2024)
Folding Pathways for Initiator and Effector Procaspases from Computer Simulations
by: Piana, Stefano, et al.
Published: (2005)
by: Piana, Stefano, et al.
Published: (2005)
Pan-parastagonospora comparative genome analysis-effector prediction and genome evolution
by: Syme, Robert, et al.
Published: (2018)
by: Syme, Robert, et al.
Published: (2018)
Fighting fungal pathogens with big data: new computational
approaches for effector discovery and crop disease
management
by: Jones, Darcy Adam Bain
Published: (2021)
by: Jones, Darcy Adam Bain
Published: (2021)
The Impact of Simvastatin on Pulmonary Effectors of Pseudomonas aeruginosa Infection
by: Hennessy, E., et al.
Published: (2014)
by: Hennessy, E., et al.
Published: (2014)
Regulation of proteinaceous effector expression in phytopathogenic fungi
by: Tan, Kar-Chun, et al.
Published: (2017)
by: Tan, Kar-Chun, et al.
Published: (2017)
Designing a pepper harvester end effector
by: Tiong, I.H
Published: (2010)
by: Tiong, I.H
Published: (2010)
Redox regulation of p53, redox effectors regulated by p53: A subtle balance
by: Maillet, A., et al.
Published: (2012)
by: Maillet, A., et al.
Published: (2012)
Comparative genomics and prediction of conditionally dispensable sequences in legume–infecting Fusarium oxysporum formae speciales facilitates identification of candidate effectors
by: Williams, A., et al.
Published: (2016)
by: Williams, A., et al.
Published: (2016)
Transcriptome analysis of the fungal pathogen Fusarium oxysporum f. sp. medicaginis during colonisation of resistant and susceptible Medicago truncatula hosts identifies differential pathogenicity profiles and novel candidate effectors
by: Thatcher, L., et al.
Published: (2016)
by: Thatcher, L., et al.
Published: (2016)
Functional redundancy of necrotrophic effectors – consequences for exploitation for breeding
by: Tan, Kar-Chun, et al.
Published: (2015)
by: Tan, Kar-Chun, et al.
Published: (2015)
Toll-like receptors (TLRs) and T cell effector function
by: Mahmood, Majid Mohammed
Published: (2020)
by: Mahmood, Majid Mohammed
Published: (2020)
End effector and trajectory working area of robot system
by: Mohd Rizal, Abdul Hamid
Published: (1999)
by: Mohd Rizal, Abdul Hamid
Published: (1999)
Genetic analysis of wheat sensitivity to the ToxB fungal effector from Pyrenophora tritici-repentis, the causal agent of tan spot
by: Corsi, B., et al.
Published: (2020)
by: Corsi, B., et al.
Published: (2020)
The development of Rab27-effector protein interaction inhibitors for treatment of cancer cell invasion and proliferation
by: Al-Saad, Raghdan Zeki Chillab
Published: (2017)
by: Al-Saad, Raghdan Zeki Chillab
Published: (2017)
Effector discovery and characterisation in the Fusarium graminearum-wheat floral interaction
by: Walker, Catherine Holly
Published: (2020)
by: Walker, Catherine Holly
Published: (2020)
Effector memory T cells are associated with atherosclerosis in humans and animal models
by: Ammirati, E., et al.
Published: (2012)
by: Ammirati, E., et al.
Published: (2012)
Does a cognate receptor know its own effector?
by: Oliver, Richard
Published: (2010)
by: Oliver, Richard
Published: (2010)
Effects of short chain fatty acids on effector mechanisms of neutrophils
by: Vinolo, M., et al.
Published: (2009)
by: Vinolo, M., et al.
Published: (2009)
Similar Items
-
EffectorP: Predicting fungal effector proteins from secretomes using machine learning
by: Sperschneider, J., et al.
Published: (2016) -
ApoplastP: Prediction of effectors and plant proteins in the apoplast using machine learning
by: Sperschneider, J., et al.
Published: (2017) -
LOCALIZER: Subcellular localization prediction of both plant and effector proteins in the plant cell
by: Sperschneider, J., et al.
Published: (2017) -
Comparative secretome analysis of Rhizoctonia solani isolates with different host ranges reveals unique secretomes and cell death inducing effectors
by: Anderson, J., et al.
Published: (2017) -
Advances and Challenges in Computational Prediction of Effectors from Plant Pathogenic Fungi
by: Sperschneider, J., et al.
Published: (2015)