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Impurity Profiling Suite™

Assess the Safety Profile of Pharmaceutical Impurities

Predict genotoxic and carcinogenic endpoints to meet ICH M7(R2) guidelines.
 

Impurity Profiling Suite

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Support Confident Impurity Risk Assessment

Predict toxicological endpoints from chemical structure to support ICH M7(R2) workflows. Developed through a collaborative agreement with the U.S. Food and Drug Administration (FDA), Impurity Profiling Suite helps prepare regulatory submissions with confidence.

Determine the ICH M7(R2) classification for impurities and degradants.

Identify potentially hazardous structural fragments responsible for genotoxic and carcinogenic activity.

Gain insight into the possible mechanisms of toxic effects.

Assess the reliability of predictions.

Benefits

Why Choose Impurity Profiling Suite?

Make Data-Driven Decisions with Confidence

  • Classify structures according to ICH M7(R2) guidelines for your review
  • Review the supporting evidence behind each classification, with recommendations for appropriate control measures
  • Assess the toxicity of single compounds or compound series to prioritize further evaluation

Trust in Reliable Predictions

  • Predictions are based on curated public and regulatory data (provided by the FDA)
  • The expert system identifies 67 literature-derived toxicophore alerting groups associated with genotoxic and carcinogenic mechanisms
  • Evaluate prediction reliability using a reliability index, similar structures, and literature references

Compliant with the ICH M7(R2) Guidelines

  • Includes both probabilistic and knowledge-based models
  • Models follow OECD validation principles
  • A weight of evidence (WoE) approach provides information when experimental data are inconclusive
  • Results are accepted by the FDA, European Medicines Agency (EMA), and other regulatory agencies

How it Works

Toxicity Data for Expert Review in 
Seconds with Impurity Profiling Suite

 

 

  1. Draw/import your structure(s)
  2. Review results and make decisions
  3. Report your assessment to PDF

Features of Impurity Profiling Suite

  • Calculate toxicity endpoints for organic molecules from structure (draw in-app, or copy/paste from third-party drawing packages); SMILES string; InChI code; imported MOL, SK2, SKC, or CDX files; or search by name in the built-in dictionary
  • Automatic detection of tautomeric forms (for applicable prediction modules)
    • Select the canonical or major form
  • See the ICH M7(R2) classification* for your compound. The software provides the following classifications based on experimental data and QSAR predictions:
    • Class 1—Known carcinogen
    • Class 2—Known mutagen
    • Class 3—Alerting/potentially hazardous structure
    • Class 5—No alerts or sufficient data for lack of mutagenicity. When a conclusive classification cannot be made, ICH M7 Class is reported as Inconclusive

      *Class 4 assignments for parent-derivative relationships are not provided by the software at this time

  • When a definitive classification cannot be made from experimental data alone, you are provided with an evaluation based on a weight of evidence (WOE) approach involving:
    • The probability of hazardous effects reported by statistical models and confidence of predictions
    • Presence of alerting groups known from the literature
    • Evidence from experimental data for the most similar compounds from the built-in database
    • Other mitigating factors
  • Structure highlighting to indicate the alerting group/sub-structure
  • View a full list of alerting groups and hazardous fragments in the structure along with:
    • Statistical data about positive and negative compounds with that group/fragment
    • Z score indicating statistical significance that the fragment contributes to a positive test in the assay
    • Description of the mechanism of action and literature references
  • Results from the probabilistic model are presented as a Tree
    • Individual nodes corresponding to particular endpoints are grouped into higher level nodes according to a species/test system and mechanism of action. Information for each endpoint includes:
    • p-value—probability that a compound will result in a positive test in the respective assay
    • Coverage—an indication of whether or not the compound belongs to the Model Applicability Domain according to the calculated reliability index (RI) value
    • Call—“+” or “-” indicates the compound can be reliably classified as Positive or Negative in that assay on the basis of p and RI values; undefined when it cannot be reliably classified
    • See the five most similar structures in the training set with name, CAS number, and experimental results (positive or negative, quantitative TD50 value, and tumor target sites in case of carcinogenicity)
  • Calculate toxicological endpoints for libraries of compounds and use built-in tools to sort, filter, plot, and rank results
    • Set user-defined label colors
    • Filter results numerically
    • Sort results by ascending/descending values
  • Retrieve results of previously calculated values in your activity history
  • Report ICH M7(R2) assessments or other results to PDF or copy/paste to your application of choice
  • Add custom models/algorithms by connecting to an existing web service using an XML protocol, or in the form of a DLL (available in thin client deployments only)

What Our Customers Say About Impurity Profiling Suite

Quote from Yao Xiaohua

“We used the analysis results of Percepta Impurity Profiling Suite as evidence for submissions to regulators in China and abroad for acceptance.”

Yao Xiaohua A pharma company, China

Impurity Profiling Suite FAQs

Impurity Profiling Suite is designed for various types of organic impurities that can arise during the manufacturing, synthesis, or storage of an active pharmaceutical ingredient (API), including unreacted starting materials and intermediates, unwanted by-products, and degradation products resulting from the breakdown of the drug substance over time.

Under the ICH M7 guideline, computational safety assessment alone can be used for impurities present at an intake level of 1 mg/day or less. Therefore, whether computational assessment is sufficient depends not only on the identity of the impurity but also on the amount present. The same impurity may require only computational assessment in one formulation, while experimental safety assessment may be required in another if the impurity is present at a higher intake level.

ICH M7(R2) provides a framework for the identification, assessment, qualification, and control of DNA-reactive (mutagenic) impurities to limit potential carcinogenic risk in pharmaceuticals. The guideline permits the use of two complementary QSAR methodologies, following Organization for Economic Co-operation and Development (OECD) validation principles, as an alternative to expensive in vitro testing.

Developed through a collaborative agreement with the U.S. FDA, Impurity Profiling Suite supports ICH M7(R2) workflows by helping scientists assess the genotoxic and carcinogenic potential of impurities and degradants. The software predicts relevant toxicological endpoints and helps determine ICH M7(R2) classifications to support impurity risk assessment and regulatory submissions. 

Impurity Profiling Suite predicts 21 toxicological endpoints, including mutagenicity, clastogenicity, DNA damage, carcinogenicity, and endocrine disruption.

Yes. Impurity Profiling Suite can evaluate multiple compounds within a single project, including the parent API and a set of its impurities and degradants. Compounds can be analyzed individually or together as a project, with the software tracking which alerts are shared between the impurities and the parent compound.

The OECD recommends that QSAR models have a defined endpoint, an unambiguous algorithm, a defined domain of applicability, appropriate measures of goodness-of-fit, robustness and predictivity, and, where possible, a mechanistic interpretation. These principles help ensure that predictions are scientifically robust and suitable for regulatory use. 

Yes. Impurity Profiling Suite supports the Carcinogenic Potency Categorization Approach (CPCA) for N-nitrosamines, enabling automatic assessment of compounds containing N-nitroso (N–N=O) functional groups when experimental data is unavailable. The software assigns a CPCA category, estimates CPCA scores and contributing factors, and provides acceptable intake limits directly within the interface and ICH M7 reports.

Impurity Profiling Suite is designed for organizations of all sizes, from small and medium-sized companies to large pharmaceutical and biotechnology organizations.

Impurity Profiling Suite uses a weight of evidence (WoE) approach to resolve ambiguous predictions. The WoE algorithm takes into account a variety of factors: 

  • Raw values reported by statistical models 
  • Presence of alerting groups known from literature 
  • Evidence from experimental data for the most similar compounds 
  • Other mitigating factors 

The algorithm summarizes these data to determine whether the compound can be treated as potentially safe (Class 5), or as requiring further attention (Class 3).

Reliability of predictions is assessed using a Reliability Index (RI), ranging from 0 to 1, which supplements the statistical model predictions in Impurity Profiling Suite. The RI helps determine whether predictions can be confidently classified as positive or negative and indicates whether a compound falls within the model’s applicability domain.

Impurity Profiling Suite is available as a Windows-based thick client application. The software can be installed on individual computers or made available on a network from a central source. The graphical user interface of Impurity Profiling Suite offers all the tools you need to assess the safety of compounds. 

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Schedule a consultation with our experts to discuss your workflow, requirements, and implementation needs.

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