Mode of action (MoA) Identification of Bioactive Compounds using xCELLigence

In a new publication, authors from Helmholtz Centre for Infection Research, Braunschweig, Germany describe the development of a data analysis pipeline for the xCELLigence Real-Time Cell Analyzer to process the data, assess and score their reproducibility, and provide rank-based MoA predictions for a reference set of 60 bioactive compounds.

The authors conclude that the method can reveal additional, previously unknown targets, as exemplified by the identification of tubulin-destabilizing activities of the RNA synthesis inhibitor actinomycin D and the effects on DNA replication of vioprolide A. The data analysis pipeline is based on the statistical programming language R and is available to the scientific community through a GitHub repository.


Prof. Dr. Mark Brönstrup, Department of Chemical Biology, Helmholtz Centre for Infection Research, Braunschweig, Germany:

"With our study, we would like to offer a data analysis solution to the scientific community. It deals with capturing the effects that small molecule drugs exert on cellular impedance."





Read the publication:

Franke, R. et al. (2019) ‘xCELLanalyzer: A Framework for the Analysis of Cellular Impedance Measurements for Mode of Action Discovery’, SLAS DISCOVERY: Advancing Life Sciences R&D. doi: 10.1177/2472555218819459.


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