Fast, reliable, and user-friendly tool that incorporates multiple QSAR models developed with in vitro,
in chemico, and in vivo data, integrated into a consensus Bayesian model that predicts human effects of
skin sensitization potential of chemicals.
Innovative and comprehensive workflow for data curation, QSAR modeling,
virtual screening and mechanistic interpretations, using an interactive and user-friendly
Streamlit dashboard, for computational toxicology and drug discovery projects.