Toxometris.ai
Accelerate your drug design process with cutting-edge in silico toxicity assessment
Predict chemical toxicity early with AI-powered insights
The Toxometris.ai add-on enables in silico toxicity assessment directly within the SciSure platform. Using advanced AI-based models, it helps researchers evaluate the potential toxicity of chemicals and substances early in the R&D process before committing to costly and time-consuming wet-lab testing.
By identifying risk sooner, teams can prioritize safer, more promising compounds and make more informed development decisions.
Key Features & Benefits
- Early toxicity screening
Predict toxicological risks at an early stage of drug discovery or chemical development. - Resource-efficient decision-making
Focus experimental efforts on compounds with the highest potential, reducing unnecessary testing. - AI-powered prediction models
Leverage validated machine-learning models for reliable in silico toxicity assessments. - Fast, accessible results
View prediction outcomes in a clear dashboard and download detailed PDF reports within minutes.
Supported Prediction Endpoints
Toxometris.ai currently supports predictions for:
- Genotoxicity (AMES)
- Genotoxicity (Micronucleus, in vitro)
- Genotoxicity (Micronucleus, in vivo)
- Aqueous solubility
- hERG cardiotoxicity
- Rodent carcinogenicity
- Hepatotoxicity
The list of endpoints is continuously expanding and will increasingly cover ADME and toxicity-related properties.
Ideal For
- Drug discovery and early-stage R&D teams
- Pharma and biotech companies screening chemical libraries
- Research groups looking to reduce wet-lab testing costs
- Scientists prioritizing compound safety earlier in development
Seamless Integration with SciSure
With the Toxometris.ai add-on installed, researchers can assess the physicochemical, biological, and toxicological properties of compounds in just a few clicks—bringing predictive toxicology directly into their digital lab workflow.
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