PHISDetector

PHISDetector predicts phage-host interactions by detecting and integrating multiple phage-host interaction signals (PHISs) to support studies of phage-microbe coevolution and virome analysis.

Key Features:

• Diverse Signal Detection: Systematically identifies multiple categories of PHISs, including sequence composition, CRISPR targeting, prophage presence, genetic homology, and protein-protein interaction signals.
• Machine Learning Integration: Employs machine-learning models to enhance prediction accuracy of phage-host associations across diverse interaction patterns.
• Comprehensive Analysis: Integrates multiple PHIS categories to provide a comprehensive prediction model for global phage-host interactions applicable to high-throughput virome studies.

Scientific Applications:

• Bacterial adaptive evolution: Detects phage-host interactions relevant to bacterial adaptive evolution that influence human health and disease management.
• Phage therapy and antimicrobial research: Predicts phage-host interactions to explore therapeutic agents, such as phage therapy, against multi-drug resistant infections.

Methodology:

Processes input genomic sequences from bacteria or viruses in GenBank or FASTA format; detects and analyzes PHISs using bioinformatics methods, integrates these signals for interaction prediction, and refines predictions with machine-learning models for phage-microbe coevolution studies.