ArticleBiomolecules2020
EffHunter: A Tool for Prediction of Effector Protein Candidates in Fungal Proteomic Databases.
Article in Biomolecules, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
23 citing papers in PubMed, 41 citations in OpenAlex.
- Accessory regions and horizontal gene transfer shape the evolution of clonal Colletotrichum nymphaeae infecting strawberry.The New phytologist · 2026Article
- Prediction of the secretome of Microbotryum intermedium, as well as candidate fungal effectors.BMC genomic data · 2026Article
- Comparative analysis towards the identification of genome wide characteristics of a beneficial fungal endophyte.Scientific reports · 2026Article
- Turning Susceptibility into Strength: A New Era of Durable Resistance in Plants Through Genome Editing.Plants (Basel, Switzerland) · 2025Review
- In Silico Identification of Pathogenicity Effectors onBiotech (Basel (Switzerland)) · 2025Article
- The MFα signal sequence in yeast-based protein secretion: challenges and innovations'.Applied microbiology and biotechnology · 2025Review
- Exploring effector candidates in Rhynchosporium commune: insights into their expression dynamics during barley infection.Scientific reports · 2025Article
- Effectors of plants pathogenic fungi and fungal like microbes: a comprehensive review on mechanisms, roles, and host interactions.Frontiers in plant science · 2025Review
- Comparative Genomics Reveals Sources of Genetic Variability in the Asexual Fungal Plant Pathogen Colletotrichum lupini.Molecular plant pathology · 2024Article
- Multi-Omics Approaches Provide New Insights into the Identification of Putative Fungal Effectors fromMicroorganisms · 2024Article
- Article
- Moonlight-like proteins are actually cell wall components in Pseudocercospora fijiensis.World journal of microbiology & biotechnology · 2023Article
- Genome engineering of disease susceptibility genes for enhancing resistance in plants.Functional & integrative genomics · 2023Review
- Characterization of Arbuscular Mycorrhizal Effector Proteins.International journal of molecular sciences · 2023Review
- An in-planta comparative study of Plasmopara viticola proteome reveals different infection strategies towards susceptible and Rpv3-mediated resistance hosts.Scientific reports · 2022Article
- WideEffHunter: An Algorithm to Predict Canonical and Non-Canonical Effectors in Fungi and Oomycetes.International journal of molecular sciences · 2022Article
- Fungal Effectoromics: A World in Constant Evolution.International journal of molecular sciences · 2022Review
- Microbial Effectors: Key Determinants in Plant Health and Disease.Microorganisms · 2022Review
- Identification of a Novel Lipase with AHSMG Pentapeptide in Hypocreales and Glomerellales Filamentous Fungi.International journal of molecular sciences · 2022Article
- Genetic Characteristics and Metabolic Interactions betweenPlants (Basel, Switzerland) · 2022Review
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Pathogens are able to deliver small-secreted, cysteine-rich proteins into plant cells to enable infection. The computational prediction of effector proteins remains one of the most challenging areas in the study of plant fungi interactions. At present, there are several bioinformatic programs that can help in the identification of these proteins; however, in most cases, these programs are managed independently. Here, we present EffHunter, an easy and fast bioinformatics tool for the identification of effectors. This predictor was used to identify putative effectors in 88 proteomes using characteristics such as size, cysteine residue content, secretion signal and transmembrane domains.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.