EffHunter: A tool for prediction of effector protein candidates in fungal proteomic databases
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 c...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2020 |
| País: | México |
| Institución: | Centro de Investigación Científica de Yucatán |
| Repositorio: | Repositorio Institucional CICY |
| Idioma: | inglés |
| OAI Identifier: | oai:cicy.repositorioinstitucional.mx:1003/1820 |
| Acceso en línea: | http://cicy.repositorioinstitucional.mx/jspui/handle/1003/1820 |
| Access Level: | acceso abierto |
| Palabra clave: | info:eu-repo/classification/Autores/COMPUTATIONAL PREDICTION info:eu-repo/classification/Autores/HOST-PATHOGEN INTERACTION info:eu-repo/classification/Autores/EFFECTOR PROTEINS info:eu-repo/classification/Autores/FUNGAL SECRETOME info:eu-repo/classification/cti/2 info:eu-repo/classification/cti/24 info:eu-repo/classification/cti/2415 info:eu-repo/classification/cti/241502 |
| Sumario: | 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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