Neo4COVID19

Neo4COVID19 integrates multimodal host-host, host-pathogen, and drug-target interaction data to support network pharmacology analyses aimed at identifying therapeutic candidates against SARS-CoV-2 (COVID-19).

Key Features:

• Integrated Workflow: Semi-automated integration of rapidly evolving datasets for network pharmacology analyses.
• Multimodal Network Construction: Constructs a multimodal network comprising 487 host-pathogen interactions, 74,805 host-host protein interactions, and 1,265 drug-target interactions.
• Graph Database Utilization: Stores and manages the interaction network in a Neo4j graph database to represent complex biological relationships.
• Programmatic Access: Supports API access via the Bolt protocol for programmatic querying and integration.

Scientific Applications:

• Drug Repositioning: Facilitates rapid identification of candidate compounds by linking drugs to targets within the integrated network.
• Host-Pathogen Interaction Analysis: Enables analysis of host-pathogen interactions to reveal potential therapeutic intervention points for SARS-CoV-2.
• Network Analysis: Supports identification of key nodes and pathways involved in disease progression through network-based queries.

Methodology:

Integration of host-host, host-pathogen, and drug-target datasets; construction of a comprehensive interaction network from these data; deployment of the network within a Neo4j graph database for querying and analysis.