Lazar Toxicity Predictions

Toxicity prediction
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.

For developers
For end-users
Trained model, Application, Service
Processing and analysis
Applicability domain:
Toxicology, Predictive toxicology
Structure-activity relationship (SAR / QSAR)
Biological area:
Acute toxicity, Blood brain barrier, Carcinogenicity, NOAEL/LOAEL, Mutagenicity
Targeted industry:
Drugs, Cosmetics, Food
Targeted users:
Risk assessors, Researchers, Students
Support contact:

Provided by:
in silico toxicology gmbh, Johannes Gutenberg Univertity
GNU General Public License 3 (GPLv3)
Login required:
Implementation status:
Containerized, Graphical user interface available, Available as web service
Integration status:
Integrated application
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, and TeSS (ELIXIR).
Provides legal and ethical statements on how the service can be used.