CDCDB

CDCDB provides a continuously updated database of documented drug combinations to support discovery and analysis of multi‑drug therapies and drug synergy for bacterial infections and other complex diseases.

Key Features:

• Extensive Data Collection: Contains 40,795 documented drug combinations, including 17,107 unique pairings from 4,129 individual drugs, curated from ClinicalTrials.gov, the FDA Orange Book®, and patent records.
• Continuous Updates: Is continuously updated to incorporate new entries and findings from source databases and records.
• Natural Language Processing (NLP): Employs NLP techniques to extract and curate drug combination data from diverse textual sources, supporting downstream drug synergy prediction.

Scientific Applications:

• Multi‑drug therapy discovery: Supports identification and exploration of candidate drug combinations for bacterial infections and complex diseases.
• Drug synergy prediction: Provides curated combination datasets for predictive modeling of synergistic and antagonistic drug interactions.
• Pharmacology and translational research: Enables investigation of potential synergistic effects to inform development of combination therapies.

Methodology:

Natural language processing (NLP) techniques were used to extract, process, and integrate drug combination data from sources such as ClinicalTrials.gov, the FDA Orange Book®, and patent records.