SPIDDOR

SPIDDOR implements Boolean modeling of discrete biological networks as an R package to integrate literature-derived qualitative molecular pathway descriptions into systems pharmacology analyses.

Key Features:

• Boolean Modeling: Implements Boolean models representing network components with binary (on/off) states to capture qualitative molecular pathway information.
• Integration with Systems Biology/Pharmacology Networks: Integrates discrete network models into systems biology and systems pharmacology frameworks to model signaling networks associated with disease.
• Enhanced Target Identification and Validation: Extends discrete network analysis to support identification and validation of therapeutic targets in drug development contexts.

Scientific Applications:

• Disease Pathogenesis Analysis: Enables exploration of signaling network dynamics to investigate mechanisms of disease pathogenesis.
• Therapeutic Target Discovery: Identifies potential therapeutic targets by analyzing network interactions and inferred pathogenic pathways.
• Drug Development Support: Incorporates qualitative pathway data into quantitative modeling workflows to inform drug development.

Methodology:

Uses Boolean logic to model network dynamics; integrates literature-derived qualitative pathway descriptions into discrete models; simulates disease-related signaling networks.