AI Medical Compendium Journal:
Environmental and molecular mutagenesis

Showing 1 to 4 of 4 articles

Using N-Nitrosodiethanolamine (NDELA) and N-Nitrosopiperidine (NPIP) Transgenic Rodent Gene Mutation Data and Quantum Mechanical Modeling to Derive Potency-Based Acceptable Intakes for NDSRIs Lacking Robust Carcinogenicity Data.

Environmental and molecular mutagenesis
Acceptable intake (AI) limits for nitrosamine drug substance related impurities (NDSRIs) that lack carcinogenicity data could be estimated from mutagenic potency relative to anchor nitrosamines with carcinogenicity data. This approach integrates poin...

Machine learning enhances genotoxicity assessment using MultiFlow® DNA damage assay.

Environmental and molecular mutagenesis
Genotoxicity is a critical determinant for assessing the safety of pharmaceutical drugs, their metabolites, and impurities. Among genotoxicity tests, mechanistic assays such as the MultiFlow® DNA damage assay (MFA) allows the investigations on mode o...

Visualization strategies to aid interpretation of high-dimensional genotoxicity data.

Environmental and molecular mutagenesis
This article describes a range of high-dimensional data visualization strategies that we have explored for their ability to complement machine learning algorithm predictions derived from MultiFlow® assay results. For this exercise, we focused on seve...

Genotoxic mode of action predictions from a multiplexed flow cytometric assay and a machine learning approach.

Environmental and molecular mutagenesis
Several endpoints associated with cellular responses to DNA damage as well as overt cytotoxicity were multiplexed into a miniaturized, "add and read" type flow cytometric assay. Reagents included a detergent to liberate nuclei, RNase and propidium io...