Are (Q)SAR models fit-for-purpose for classification and labelling?

We were recently involved in a cross-industry project to determine whether (Q)SAR models were fit-for-purpose for classification and labelling. To test this hypothesis, a series of companies across different industrial sectors each compiled a data set of chemicals with experimental acute rat oral data. These chemicals were run against the first version of the Leadscope […]

What does the harmonization of in silico safety assessments mean for extractables and leachables?

The ICH M7 guideline1 presents the types of methodologies that are relevant to assess mutagenic impurities. The guideline goes further than simply mentioning that QSAR methods and analogs should be considered prior to conducting an experimental study, and it details two complementary methodologies (statistical and expert rule-based), and how the results should be considered to […]

Why is it important to define confidence?

As Candice described in her recent blog “So many pieces of information!” – making actionable decisions is extremely complicated, especially when integrating the results from in silico models alongside historical in vivo studies and in vitro experiments. When is there sufficient information to make a decision? Well, it depends the type of decision and the […]

Establishing potency categories for Nitrosamine impurities

Nitrosamine impurities currently belong to a “cohort of concern” because of their potential to be potent mutagenic carcinogens, as described in the ICH M7 guideline1. They are also coming under increasing regulatory scrutiny with the US Food and Drug Administration and European Medicines Agency recently issuing new guidelines2,3 for examination of this class. These guidelines […]

So many pieces of information!

The movement of toxicology away from an observational-based paradigm and towards a mechanism-based one is ongoing. One pertinent question is how to combine data across mechanistic pathways to derive an overall assessment of hazard and what level of confidence should be placed in such a result. Further, where data gaps exist, how could in silico […]

Can the burden on industry and regulators be reduced?

About 6 years ago, the International Conference on Harmonization (ICH) published the M7 guideline “Assessment and Control of DNA reactive (mutagenic) Impurities in Pharmaceuticals to limit Potential Carcinogenic Risk”.[1] This was a landmark moment for computational toxicology, as it was the first time such methods were recognized by the ICH as a regulatory test. An […]