EffectiveCCBD

EffectiveCCBD predicts bacterial secreted proteins and identifies Type-III secretion signals and chaperone-binding sites to characterize bacterium–host molecular interactions.

Key Features:

• Eukaryotic-like protein domain identification: Recognizes protein domains that resemble eukaryotic domains often indicative of effector proteins.
• Signal peptide recognition: Scans amino acid sequences for signal peptides that direct secretion.
• Type-III secreted protein and chaperone-binding site identification: Detects features associated with Type-III secretion and associated chaperone-binding sites.
• Genome-scale predicted secretome database: Provides a database of precalculated predicted bacterial secreted proteins across entire bacterial genomes.
• Sequence-based effector prediction: Predicts effectors from user-provided protein sequences based on the integrated criteria above.

Scientific Applications:

• Bacterium–host interaction analysis: Enables characterization of secreted effectors involved in pathogenic and symbiotic interactions.
• Pathogenicity and symbiosis studies: Supports investigation of mechanisms by which bacteria manipulate host cellular processes.
• Virulence mechanism identification: Aids identification and prioritization of candidate virulence effectors for downstream experimental validation.
• Type-III secretion system research: Facilitates studies focused on pathogens that use the Type-III secretion system to deliver effectors.

Methodology:

Analyzes protein amino acid sequences using eukaryotic-like domain recognition, signal peptide scanning, and chaperone-binding site detection, and aggregates results into a database of precalculated predictions across bacterial genomes.