We previously demonstrated that the Connectivity Map (CMap)(Lamb et al., 2006) concept
can be successfully applied to a predictive toxicology paradigm to generate meaningful MoA …

Screening new compounds for potential bioactivities against cellular targets is vital for drug
discovery and chemical safety. Transcriptomics offers an efficient approach for assessing …

Connectivity mapping is a method used in the pharmaceutical industry to find connections
between small molecules, disease states, and genes. The concept can be applied to a …

Read-across refers to the process by which information from one (source) chemical is used
to infer information about another similar (target) chemical. This method can be used to fill …

Background A very large and rapidly growing collection of transcriptomic profiles in public
repositories is potentially of great value to developing data-driven bioinformatics …

At the 2019 annual meeting of the European Environmental Mutagen and Genomics Society
a workshop session related to the use of read across concepts in toxicology was held. The …

Read-across (RAX) is a popular data gap-filling technique that uses category and analogue
approaches to predict toxicological endpoints for a target. Despite its increasing relevance …

Read-across, ie filling toxicological data gaps by relating to similar chemicals, for which test
data are available, is usually done based on chemical similarity. Besides structure and …

Modern information technologies have made big data available in safety sciences, ie,
extremely large data sets that may be analyzed only computationally to reveal patterns …

Exposure of cells or organisms to chemicals can trigger a series of effects at the regulatory
pathway level, which involve changes of levels, interactions, and feedback loops of …