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Derek Features and Benefits

Reducing Risk in R&D: Save time and money by identifying potentially toxic chemicals, thereby reducing risk in research and development. Derek can swiftly provide single or batch predictions for the toxicity of compounds. 

 

 

Extensive Coverage of Chemical Space: Derek alerts are built on public, proprietary and regulatory data (including data from the FDA). More than 25% of the mutagenicity alerts have been developed using proprietary data. 

 

 

Expert ICH M7 Support: Derek predictions are accepted by regulators under the ICH M7 Guidelines. The M7 functionality allows for simultaneous compound processing in Derek and Sarah Nexus against the mutagenicity in vitro endpoint.  

 

 

Rapid Toxicity Assessment: Derek can swiftly provide single or batch predictions for the toxicity of query compounds.

 

 

Negative Predictions Provided: Rather than an “out of domain”, Derek provides negative mutagenicity predictions when compounds do not fire any bacterial in vitro mutagenicity alerts, ensuring comprehensive coverage for the user. 

 

 

Skin Sensitisation Potency Predictions: A Nearest Neighbour model is used to predict EC3 values for compounds that fire a skin sensitisation alert, allowing assessment of the skin sensitisation risk.

 

 

Transparent Predictions: Predictions are clearly represented and contain supporting evidence and patterns associated with the alerts for your compound. 

 

 

Auto-Classification: A user-editable classification is derived from the predictions provided by Derek and Sarah and any relevant experimental information included. 

 

© 2017 Lhasa Limited | Registered office: Granary Wharf House, 2 Canal Wharf, Leeds, LS11 5PS, UK Tel: +44 (0)113 394 6020
VAT number 396 8737 77 | Lhasa Limited is registered as a charity (290866)| Company Registration Number 01765239 (England and Wales).

QuestionPro supports sample survey questions such as multiple choice, drop-down menu, likert-scale, semantic differential, matrix, constant sum, drag-and-drop, slider-scale, net-promoter scale, and many more question types.