lazar( Lazy Structure- Activity Relationships ) takes a chemical structure as input and provides predictions for a variety of toxic properties.
lazaruses an automated and reproducible read across procedure to calculate predictions. Rationales for predictions, applicability domain estimations and validation results are presented in a clear graphical interface for the critical examination by toxicological experts.
lazaris built on top of the OpenTox framework.
lazarcan be used
nano-lazaris a prototype application to do read-across predictions for nanoparticle toxicities. The application is developed in the eNanoMapper project.
OpenTox webservices are the building blocks for a predictive toxicology framework. We maintain webservices for
- authentication and authorisation
and have access to a variety of other OpenTox webservices (e.g. AMBIT database, QMRF/QPRF reporting services).
- ToxBank provides the computational infrastructure for the SEURAT cluster of EU projects. We develop and maintain OpenTox compatible webservices for storing, searching and analysing experimental data.