Derivation and Validation of Toxicophores for Mutagenicity Prediction
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Abstract
Mutagenicity is one of the numerous adverse properties of a compound that hampers its potential to become a marketable drug. Toxic properties can often be related to chemical structure, more specifically, to particular substructures, which are generally identified as toxicophores. A number of toxicophores have already been identified in the literature. This study aims at increasing the current degree of reliability and accuracy of mutagenicity predictions by identifying novel toxicophores from the application of new criteria for toxicophore rule derivation and validation to a considerably sized mutagenicity dataset. For this purpose, a dataset of 4337 molecular structures with corresponding Ames test data…
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651
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Authors
3Topics & keywords
Topics
Keywords
- Ames test
- Set (abstract data type)
- Reliability (semiconductor)
- Data set
- Chemistry
- Molecular descriptor
- Data mining
- Statistics
UN Sustainable Development Goals
- Good health and well-being
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