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Updated: Feb 21, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
Effector Biology in Focus: A Primer for Computational Prediction and Functional Characterization
Ronaldo J D Dalio1, John Herlihy2, Tiago S Oliveira1
11 Citrus Biotechnology Lab, Centro de Citricultura Sylvio Moreira, IA, Cordeirópolis-SP, Brazil; and.
Understanding plant-pathogen interactions requires studying pathogen effectors. This review outlines methods to predict, characterize, and utilize these effectors for developing sustainable crop disease control strategies.
Area of Science:
- Plant pathology
- Molecular biology
- Genomics
Background:
- Plant immunity relies on pathogen recognition.
- Pathogens secrete effectors to disrupt host defenses.
- Limited knowledge exists on effector repertoires across diverse pathogens.
Purpose of the Study:
- To review methodologies for predicting and functionally characterizing pathogen effectors.
- To explore the use of effectors in screening for host resistance.
- To broaden understanding of plant-pathogen interactions and disease control.
Main Methods:
- Computational prediction of effector proteins.
- Functional characterization of effector proteins and their targets.
- Utilizing effectors as probes for resistance screening.
Main Results:
- Methodologies are applicable across various pathosystems, including less-studied ones.
- Broader effector biology studies enhance understanding of molecular virulence mechanisms.
- Leveraging effector biology offers new disease control strategies.
Conclusions:
- Standardized methods facilitate effector research in diverse plant-pathogen systems.
- Investigating effector repertoires is crucial for sustainable agriculture and ecosystem health.
- Exploiting effector biology advances disease resistance discovery and crop protection.
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