DeMAND

DeMAND predicts the mechanism of action (MoA) of drugs by analyzing compound-induced gene expression signatures within cell context-specific regulatory networks to identify proteins with dysregulated interactions.

Key Features:

• Cell Context-Specific Analysis: Operates within cell-specific regulatory networks to provide context-tailored MoA inference.
• Gene Expression Signature Integration: Integrates multiple compound-induced gene expression signatures (N ≥ 6) to discern patterns indicative of compound effects.
• Protein Interaction Dysregulation Identification: Identifies proteins whose network interactions are altered by compound treatment.
• Network Biology Integration: Applies network biology principles to connect expression changes to perturbed interactions and candidate targets.

Scientific Applications:

• Drug Discovery and Development: Elucidates compound MoA to support candidate prioritization and characterization.
• Target Identification: Pinpoints proteins involved in dysregulated interactions as potential therapeutic targets.
• Pathway Analysis: Reveals regulatory pathways affected by compounds to inform mechanism and disease studies.

Methodology:

Integrates compound-induced gene expression signatures (N ≥ 6) with cell context-specific regulatory networks using network biology principles to identify proteins with dysregulated interactions and infer compound MoA.