Effective

Effective predicts bacterial secreted proteins (effectors) by detecting eukaryotic-like protein domains in amino acid sequences and recognizing signal peptides to support molecular studies of bacterium-host interactions, pathogenicity, and symbiosis.

Key Features:

• Effector prediction: Predicts bacterial secreted proteins (effectors) from amino acid sequence data.
• Eukaryotic-like domain detection: Detects eukaryotic-like protein domains within bacterial amino acid sequences as indicators of host-interaction functions.
• Signal peptide recognition: Identifies signal peptides indicative of secretion pathways.
• Genome-wide predictions: Provides precalculated predictions across entire bacterial genomes.

Scientific Applications:

• Identification of virulence factors: Supports identification of proteins involved in bacterial virulence mechanisms.
• Study of bacterium-host interactions: Enables molecular-level investigation of pathogenic and symbiotic bacterium-host interactions.
• Genome-wide effector surveys: Enables broad genomic surveys of secreted proteins across bacterial genomes.
• Targeted sequence analysis: Permits prediction and analysis of individual bacterial protein sequences for effector properties.

Methodology:

Employs two complementary prediction strategies: detection of eukaryotic-like protein domains in bacterial amino acid sequences and recognition of signal peptides indicating secretion pathways, with precalculated genome-wide predictions.