P2CS

P2CS annotates and classifies two-component system (TCS) proteins from completely sequenced prokaryotic genomes and metagenomes to support analyses of prokaryotic signaling and genomic context.

Key Features:

• Annotation and Classification: Provides detailed annotations and classifies TCS proteins based on sequence features and predicted properties.
• Replicon Context: Records replicon context to link each TCS protein to its genomic environment.
• ORFeome Analysis: Analyzes ORFeomes to identify TCS genes potentially missed during initial genome annotation.
• External Prediction Integration: Integrates predictions of homologues, interaction networks, sub-cellular localization, and domain complements from external servers.
• CGView Visualization: Generates graphical representations of TCS gene distribution around replicons.
• Gene Organization Categorization: Classifies TCS genes according to gene organization patterns.
• Expanded Domain-Based Classification: Enhances classification using domain-based categorizations.
• Sequence Cluster Categorization: Groups TCS proteins by sequence similarity for comparative and evolutionary analyses.

Scientific Applications:

• Prokaryotic signaling analysis: Enables investigation of two-component system diversity and function across bacteria and archaea.
• Genome organization studies: Facilitates examination of TCS genomic context and replicon-level distribution.
• Comparative and evolutionary analysis: Supports sequence-cluster and domain-based comparisons for evolutionary inference.
• Annotation improvement: Aids identification of unannotated or misannotated TCS genes via ORFeome screening.

Methodology:

Annotation and classification based on sequence features and predicted properties; incorporation of replicon context; ORFeome screening to detect overlooked TCS genes; integration with external prediction servers for homologues, interaction networks, sub-cellular localization, and domain complements; CGView visualization of gene distribution; sequence clustering and domain-based classification and gene-organization categorization.