CASE Ultra 

Designed in collaboration with the US FDA to assist with evaluating and classifying pharmaceutical impurities in accordance with the ICH M7 guideline.

Statistical Methodology

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. 

Expert Rule-Based Methodology

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 Support

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:

One Prediction

Arrive at a conclusive outcome from contradictory or inconclusive predictions from the two (Q)SAR methodologies.

Compound Classification

Classify your compounds with respect to mutagenic and carcinogenic potential as outlined in ICH M7.

Surrogate Analysis

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.

Supporting Data

Access supporting mutagenicity and carcinogenicity data from databases.

Related Research

2024, CASE Ultra, Poster

Improving the Predictivity of QSAR Models to Evaluate Rodent Carcinogenicity

15 Mar 2024

Carcinogenicity is considered one of the most important toxicity endpoints to evaluate concerning human safety The...

2023, CASE Ultra, Collaboration, Publication

Evaluation of QSAR models for predicting mutagenicity: outcome of the Second Ames/QSAR international challenge project

13 Nov 2023

To promote superior model development the Division of Genetics and Mutagenesis National Institute of Health Sciences...

Apply The Konsolidator tool to generate one prediction based on multiple models.

The Konsolidator tool will suggest an ICH M7 classification category and provide reasoning for the expert to consider.
Use The Konsolidator to identify relevant surrogates and their experimental Ames results.

The Konsolidator will list compound surrogates and provide Ames and rodent carcinogenicity data when available.