ELSIE Webinar on a Framework for Sensitization Assessment for E&L and Practical Application

We are delighted to be participating in an upcoming webinar organized by the Extractables and Leachables Safety Information Exchange (ELSIE) Consortium on the topic of a framework for sensitization assessment for Extractables and Leachables (E&L) on 22 September 2022, 9:30 – 11:00 AM ET1. We will be describing the development of a representative database of …

New paper on the use of the Ames assay to predict carcinogenicity of N-Nitrosamines

This week, we are pleased to welcome Dr. Kevin P. Cross, Instem’s Principal Investigator with U.S. FDA Collaborations and VP of Product Engineering and Production, as a guest contributor to the blog. We were happy to contribute to a recent publication titled “Use of the Bacterial Reverse Mutation Assay to Predict Carcinogenicity of N-Nitrosamines”.1 N-Nitrosamines …

Publication of the special issue of computational toxicology on the in silico toxicology protocol initiative

In 2016, we initiated a new project to develop a standardized procedure for in silico experts performing assessments, similar to in vitro or in vivo test guidelines. This would streamline the application of in silico methods, ensure best practices are adopted, and defend its use to colleagues, peers, and regulators. The general framework paper1 was …

The Leadscope bacterial mutagenicity expert alerts journey to universal regulatory acceptance

It has taken over 10 years, but now Leadscope’s expert rule-based methodology is used every day to support submissions to regulatory agencies around the world, including pharmaceutical impurity assessments aligned with the ICH M7 guideline1, assessment of extractable and leachables, along with other applications. The following blog reviews this journey. The first step in this …

New in silico paper on acute toxicity

We are pleased to announce the publication of a new paper “Principles and Procedures for Assessment of Acute Toxicity Incorporating In Silico Methods”.1 This paper presents the results from a significant cross-industry collaboration to support the application of in silico methods for (1) product research and development, (2) product approval and registration as well as …

Neurotoxicity hazard assessment framework that integrates in silico approaches

Earlier this year, we described the results from a collaborative working group that developed a neurotoxicity hazard assessment framework that integrates in silico approaches1. This cross-industry collaboration resulted in a publication within a special issue of the Journal of Computational Toxicology2. Dr. Arianna Bassan will be presenting the project on July 22nd, 2022 at 9:00 …

Special issue of the Journal of Computational Toxicology

A special issue of the Journal of Computational Toxicology on the in silico toxicology protocol initiative1 is currently being finalized. Myself (Glenn Myatt), Kevin Cross and Candice Johnson from Instem were happy to support this effort as guest editors and many of the articles are already available on-line. The in silico toxicology protocol initiative was …

6-year anniversary of the ICH M7 principles and procedures publication

Over 6 years ago, the ICH M7 pharmaceutical impurities guideline1 was in its implementation phase, and we were approached to consider writing a cross-industry publication to outline a protocol for performing a (Q)SAR assessment aligned with the guideline. A collaborative working group was established and work began to create this publication. The paper was published …

Advancing Prediction of Nitrosamine Carcinogenicity Potency

This week, Dr. Kevin Cross from Instem is presenting at the 2022 Genetic Toxicology Association meeting on recent progress in predicting N-nitrosamine carcinogenicity potency. The presentation outlines progress over the last year and provides an update on different collaborative working groups, including a recently announced EMA-MutAmind project funded by the European Medicine’s Agency and led …

Predicting toxicity using read-across

Read-across is an example of a flexible in silico toxicology methodology whereby a toxicity prediction for a chemical (often referred to as the target compound) is made using experimental data on one or more similar analogs (often referred to as source compound(s)). This is a lengthy process highly reliant on an expert review of the …