Comparative QSTR studies for predicting mutagenicity of nitro compounds

Area of Science:

• Toxicology
• Computational Chemistry
• Medicinal Chemistry

Background:

• Mutagenicity and carcinogenicity are critical toxicological concerns, often linked to cancer and tumor development.
• Nitroarenes are known genotoxic agents due to their ability to form electrophilic intermediates and adducts.
• Predictive modeling is essential for assessing the risks associated with these compounds.

Purpose of the Study:

• To develop and validate quantitative structure-activity relationship (QSAR) models for predicting the mutagenicity of nitroarenes.
• To identify key molecular descriptors influencing the mutagenic potential of nitroaromatic and heteroaromatic compounds.
• To provide a computational tool for screening mutagenic nitroarenes and designing safer chemical entities.

Main Methods:

• Employed quantitative structure-activity relationship (QSAR) techniques, including 2D and 3D methods, to model mutagenicity.
• Utilized a dataset of 197 nitroaromatic and heteroaromatic molecules for model development.
• Applied maximum common substructures (MCS) for 3D alignment, using the most mutagenic molecule as a template.
• Incorporated GFA (General Field Approximation), HQSAR, and molecular fingerprints for descriptor analysis.

Main Results:

• Developed statistically significant 2D and 3D QSAR models with robust predictive capabilities.
• 3D contour maps, 2D contribution maps, and molecular fingerprints provided insights into mutagenic mechanisms.
• GFA-based models highlighted the importance of thermodynamic (e.g., AlogP) and topological descriptors (e.g., Balaban indices).
• Models demonstrated good performance on both training and test sets.

Conclusions:

• The developed QSAR models serve as effective tools for predicting nitroarene mutagenicity.
• These models can aid in the early screening of potentially mutagenic compounds.
• The findings facilitate the rational design of novel, non-mutagenic nitro compounds with improved safety profiles.