toxFlow: A Web-Based Application for Read-Across Toxicity Prediction Using Omics and Physicochemical Data

We
present toxFlow, a web application developed for enrichment analysis
of omics data coupled with read-across toxicity prediction. A sequential
analysis workflow is suggested where users can filter omics data using
enrichment scores and incorporate their findings into a correlation-based
read-across technique for predicting the toxicity of a substance based
on its analogs. Either embedded or in-house gene signature libraries
can be used for enrichment analysis. The suggested approach can be
used for toxicity prediction of diverse chemical entities; however,
this article focuses on the multiperspective characterization of nanoparticles
and selects their neighbors based on both physicochemical and biological
similarity criteria. In addition, visualization options are offered to
interactively explore correlation patterns in the data, whereas results can be exported for further analysis. toxFlow is accessible
at http://147.102.86.129:3838/toxflow.