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This dataset provides curated pharmacokinetic (PK) parameters for a large collection of drugs, with a particular focus on over 600 drugs for which recommended dose information is available. The full database contains approximately 4,500 drugs, including FDA-approved, previously approved, over-the-counter, and investigational small-molecule and peptide drugs.

Data were compiled from regulatory documents, high-impact scientific articles, and authoritative reviews between 2019 and 2025. Prepared by Rancho BioSciences for NCATS, the dataset—also known as the Fast Response Database (FRDB)—integrates PK parameters with drug properties, development stages, and therapeutic modalities.

By combining PK data with dosing information and drug characteristics, the dataset enables researchers to connect in vitro efficacy with in vivo dosage, providing a valuable resource for drug repositioning, pharmacological analysis, and development strategy planning.

Core Data Tables

• frdb-drugs.tsv — Compound metadata (names, UNII)
• frdb-pk.tsv — Pharmacokinetic study data (compound, dose, population, PK measurements)
• frdb-toxicity.tsv — Toxicity study data (compound, dose, population, toxicity measurements)
• frdb-adverseevents.tsv — Adverse events observed in toxicity studies (type, frequency, severity, DLT)
• frdb-ddi.tsv — Drug–drug interaction data (compound, target, relationship, clinical evidence)
• frdb-sourcing.tsv — Compound sourcing and vendor information (IDs, URLs)

Metadata & Dictionaries

• frdbmeta-data_model.tsv — Data model description and field dictionary for core tables
• frdbmeta-data_dictionary.tsv — Controlled vocabulary definitions
• frdbmeta-units.tsv — Units, standard-unit mappings, and relationships
• frdbmeta-units_factors.tsv — Conversion factors to standard units
• frdbmeta-targets.tsv — DDI targets with ChEMBL and UniProt identifiers
• frdbmeta-about.tsv — Column descriptions for metadata and dictionaries