A three-stage algorithm to make toxicologically relevant activity calls from quantitative high throughput screening data.

ABSTRACT:

Background

The ability of a substance to induce a toxicological response is better understood by analyzing the response profile over a broad range of concentrations than at a single concentration. In vitro quantitative high throughput screening (qHTS) assays are multiple-concentration experiments with an important role in the National Toxicology Program's (NTP) efforts to advance toxicology from a predominantly observational science at the level of disease-specific models to a more predictive science based on broad inclusion of biological observations.

Objective

We developed a systematic approach to classify substances from large-scale concentration-​response data into statistically supported, toxicologically relevant activity categories.

Methods

The first stage of th

SUBMITTER: Shockley KR 

PROVIDER: S-EPMC3440085 | biostudies-literature | 2012 Aug

REPOSITORIES: biostudies-literature