Accurate plant pathogen effector protein classification ab initio with deepredeff: an ensemble of convolutional neural networks

Accurate plant pathogen effector protein classification ab initio with deepredeff: an ensemble of convolutional neural networks

Background: Plant pathogens cause billions of dollars of crop loss every year and are a major threat to global food security. Effector proteins are the tools such pathogens use to infect the cell, predicting effectors de novo from sequence is difficult because of the heterogeneity of the sequences....

Full description

Bibliographic Details
Main Authors: Kristianingsih, R. (Author), MacLean, D. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Activation analysis
AI
Biological insight
Chemical activation
Classification (of information)
Convolution
Convolutional neural networks
Deep learning
Detection software
Effector protein
End effectors
Food supply
Global food security
Learning classifiers
Learning systems
Long short-term memory
Model architecture
Neural Networks, Computer
Personnel training
plant protein
Plant Proteins
Protein Classification
Proteins
Secreted protein
Sequence features
software
Software
Software testing
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items