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.
PMID: 31833558
Documentation
Links
Repository
https://github.com/JohannaNyff/BMCeasy