Channel Interactions and Robust Inference for Ratiometric β-Lactamase Assay Data: A Tox21 Library Analysis

Fjodor Melnikov, Jui-Hua Hsieh, Nisha S. Sipes, Paul T. Anastas
  • ACS Sustainable Chemistry & Engineering, January 2018, American Chemical Society (ACS)
  • DOI: 10.1021/acssuschemeng.7b03394

How to better compare chemical activity based on transcriptomic data from Tox21 HTS library

What is it about?

The paper aims to help scientist maximize the utility of transcriptomic data from Tox21 HTS library. The analysis focuses on B-lactamase ratiometric assays measuring cellular stress in response to chemical exposure. Robust concentration-response inference procedures are discussed briefly.

Why is it important?

HTS data show a lot of promise to help evaluate chemical effects and design or select benign alternatives. However, these data require careful processing and considerations. The analysis should help researchers with direct comparison of chemical effects based on the Tox21 HTS library.

The following have contributed to this page: Fjodor Melnikov