Lazar Toxicity Predictions
Lazar (Lazy Structure-Activity Relationships ) takes a chemical structure as input and provides predictions for a variety of toxic properties. Lazar uses 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.
Trained model, Application, Service
Processing and analysis
Toxicology, Predictive toxicology
Structure-activity relationship (SAR / QSAR)
Acute toxicity, Blood brain barrier, Carcinogenicity, NOAEL/LOAEL, Mutagenicity
Drugs, Cosmetics, Food
Risk assessors, Researchers, Students
in silico toxicology gmbh, Johannes Gutenberg Univertity
GNU General Public License 3 (GPLv3)
Containerized, Graphical user interface available, Available as web service
Service integration operations completed:
Utilises the OpenRiskNet APIs to ensure that each service is accessible to our proposed interoperability layer.
Is annotated according to the semantic interoperability layer concept using defined ontologies.
Is containerised for easy deployment in virtual environments of OpenRiskNet instances.
Has documented scientific and technical background.
Is deployed into the OpenRiskNet reference environment.
Is listed in the OpenRiskNet discovery services.
Is listed in other central repositories like eInfraCentral, bio.tools and TeSS (ELIXIR).
Provides legal and ethical statements on how the service can be used.