BMCeasy

BMCeasy computes benchmark concentrations (BMCs) and their statistical uncertainties from concentration–response data to quantify effects in cytotoxicity tests and functional in vitro assays.


Key Features:

  • Benchmark concentration (BMC) calculation and uncertainty estimation: Determines absolute BMCs and quantifies their statistical uncertainties.
  • Concentration–response modeling for cytotoxicity and functional in vitro assays: Models concentration–response relationships specific to cytotoxicity tests and functional in vitro endpoints.
  • Simultaneous multi-endpoint analysis: Performs concurrent analysis of multiple endpoints such as cell viability and functional test outcomes.
  • Benchmark Response (BMR) flexibility: Allows specification of BMR values (e.g., 10%, 25%, 50% deviations from control) to define effect levels.
  • Confidence interval computation: Provides confidence intervals for BMC estimates to express statistical uncertainty.

Scientific Applications:

  • Toxicological hazard and risk assessment: Enables determination of concentration thresholds used in chemical safety evaluations and risk profiling.
  • Regulatory submission support: Produces BMCs and associated uncertainty estimates applicable to regulatory submissions and frameworks such as EU-ToxRisk.
  • In vitro assay analysis: Supports analysis of concentration–response effects in cytotoxicity tests and functional in vitro assays.

Methodology:

Curve fitting to concentration–response data is used to identify concentrations at which predefined benchmark responses occur and to derive BMCs with confidence intervals.

Topics

Details

Tool Type:
web application
Programming Languages:
R
Added:
1/14/2020
Last Updated:
1/14/2021

Operations

Publications

Krebs A. Determination of benchmark concentrations and their statistical uncertainty for cytotoxicity test data and functional in vitro assays. ALTEX. 2019. doi:10.14573/altex.1912021. PMID:31833558.

Documentation

Links