human-virus PPIs

human-virus PPIs characterizes protein-protein interactions between human and viral proteins to elucidate mechanisms of viral infection and host immune responses, leveraging 27,293 experimentally validated human-virus PPIs spanning eight virus families, 140 viral proteins, and 6,059 human proteins.

Key Features:

• Extensive Dataset: Integrates 27,293 experimentally validated human-virus PPIs encompassing eight virus families, 140 viral proteins, and 6,059 human proteins.
• Functional Enrichment Analysis: Performs functional enrichment analysis to identify pathways enriched among viral-interacting human proteins, including cell cycle and immune-related pathways.
• Network Topology Insights: Analyzes topological features in the human PPI network to show viral-interacting proteins localize to central network regions.
• Disease Comorbidity Associations: Conducts network proximity analyses between disease genes and human-virus interactions to identify associations between complex diseases and viral infections.
• Antiviral Drug Implications: Uses network analysis and text mining to nominate potential antiviral drugs and provide supporting validation evidence.
• Database Integration: Integrates the Human-Virus Protein-Protein Interaction database (HVPPI) to provide validated PPI records and functional analysis resources.

Scientific Applications:

• Infectious Mechanism Discovery: Elucidates regulatory patterns of human-virus interactions to support discovery of viral infection mechanisms.
• Antiviral Therapy Development: Supports identification and prioritization of candidate antiviral therapeutics via network-based analyses.
• Comorbidity Research: Reveals associations between viral infections and complex disease comorbidities through network proximity analyses.

Methodology:

Experimental data integration, functional enrichment analysis, topological feature analysis, network proximity analyses, network analysis, and text mining.