Our statistical model for bacterial mutagenicity was created and validated as part of a Research Collaboration Agreement (RCA) with the US FDA CDER branch. All training set data is publicly available.
Our expert rule-based model for bacterial mutagenicity was created and validated as part of a Research Collaboration Agreement (RCA) with the US FDA CDER branch. The model contains 240 expert alerts.
Expert review should accompany any in silico analysis to provide additional context and rationale in support of a final conclusion. CASE Ultra contains the following functionalities to generate supporting evidence for ICH M7 predictions:
Classify your compounds with respect to mutagenic and carcinogenic potential as outlined in ICH M7.
Arrive at a conclusive outcome from contradictory or inconclusive predictions from the two (Q)SAR methodologies.
Search for surrogate chemicals to evaluate the mutagenic potential of structural alerts in the context of the query chemical’s structural environment. For example, if surrogates are experimentally Ames negative and contain the same alert as the query chemical, positive in silico mutagenicity outcomes can be refuted and converted to ICH M7 Class 5.
Access supporting mutagenicity and carcinogenicity data from databases.
Apply The Konsolidator tool to generate one prediction based on multiple models.
The Konsolidator will list compound surrogates and provide Ames and rodent carcinogenicity data when available.