VARIDT 4.0

VARIDT 4.0 provides multilevel distribution variability data of drug transporters, integrating tissue-level expression profiles, cell-level expression records, and subcellular localization entries with existing data to enable comprehensive consideration of transporter function within its spatiotemporal context.

Key Features:

• Tissue-level expression data: The database incorporates 25,797 tissue-level expression profiles for drug transporters.
• Cell-level expression data: The database contains 451,830 cell-level expression records documenting cellular heterogeneity of drug transporters.
• Subcellular localization data: The database includes 1,034 subcellular localization entries for drug transporters.
• Updated foundational modules: The general, structural, and regulatory variability modules were extensively updated from previous versions.
• Drug and metabolite coverage: The multilevel variability data covers transport of 889 approved drugs, 221 clinical trial drugs, and 689 endogenous metabolites.
• Disease relevance: The data is implicated in the treatment of 558 diseases.
• Spatiotemporal integration: The database integrates new distribution layers with existing data to enable comprehensive consideration of how a transporter's function is modulated by its specific spatiotemporal context.

Scientific Applications:

• System pharmacology: VARIDT 4.0 serves as a data repository for system pharmacology research.
• Drug response analysis: The multilevel distribution variability data supports understanding of drug response mechanisms.
• Drug-drug interaction prediction: The data enables analysis of drug-drug interactions involving transporters.
• Multidrug resistance research: The database supports investigation of multidrug resistance mechanisms.
• Absorption, dispersion, metabolism, and excretion studies: The distribution patterns of drug transporters codetermine ADME properties of drugs.

Methodology:

The database was developed through integration of multilevel distribution variability data with existing foundational modules on general, structural, and regulatory variability.