Quantum Chemical Evaluation and QSAR Modeling of <i>N</i>-Nitrosamine Carcinogenicity
<i>N</i>-Nitrosamine compounds in pharmaceuticals are a major concern due to their carcinogenic potential. However, not all nitrosamines are strong carcinogens, and understanding the structure-activity relationships of this compound group is a major challenge. The determination of the acceptable intake limits for this compound group is determined by applying either a simple carcinogenic potency categorization approach (CPCA) or read-across analysis from simple nitrosamines where experimental data exist. However, the emergence of structurally complex nitrosamines makes quantitative models desirable. Here, we present a two-step modeling approach based on a linear discriminant analysis of a set of quantum mechanical and classical descriptors followed by a 3D-QSAR PLS regression model to predict the logTD<sub>50</sub> of nitrosamine compounds.
Authors
- Sebastian Schieferdecker (ORCID: https://orcid.org/0000-0002-4016-7409)
- Esther Vock
Institutions
- Boehringer Ingelheim (Germany) (DE)
Publication Details
- Journal
- Chemical Research in Toxicology
- Published
- 2025-02-06
- DOI
- https://doi.org/10.1021/acs.chemrestox.4c00476
- Citations
- 8
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 12.03