Human in vitro datasets

DIDB Clinical datasets

The human in vitro datasets contain results from both metabolism and transporter studies.

  Metabolism and Transport datasets

The human in vitro datasets contain results where a drug is tested as an inhibitor/activator/inducer (precipitant) or a substrate (object) for a given human drug metabolizing enzyme or transporter (including variants).

Kinetic parameters (such as P_app, efflux ratio, uptake ratio, CL_int, K_m, and V_max), inhibition and induction values (such as IC₅₀, K_i, % inhibition or fold increase, E_max, and others) and in vitro-to-in vivo prediction ratios per FDA DDI guidance, are extracted from published citations and NDA/BLA reviews. Additionally, detailed experimental conditions (cell type, precipitant and substrate concentrations, etc.) are included for each study.

Study results are organized according to the overall effect and mechanism of the interaction and includes negative study results (classified as a non-inhibitor, non-inducer, or non-activator as appropriate). This data capture not only the effect on the drug as a substrate, but for the drug as a perpetrator as well.

Multiple queries allow users to retrieve an in vitro dataset by drug name, enzyme name, or mechanism of the interaction (drug as precipitant or as object).

Results can be viewed, customized, and downloaded in multiple formats, allowing users to compile and organize the large body of information available.

DIDB Clinical datasets