Artículo

QSAR analysis for the inhibition of the mutagenic activity by anthocyanin derivatives

Szewczuk, Nicolas Alejadro Icon; Duchowicz, Pablo Román Icon; Pomilio, Alicia Beatriz Icon

Otros responsables

Fecha

10/2020

Editorial

IGI Global

Revista

International Journal of Quantitative Structure-Property Relationships

Título del libro

Nombre del evento

Fecha del evento

Institución organizadora

ISSN

2379-7487

eISSN

2379-7479

ISBN

Idioma

Inglés

Tipo del evento

Clasificación temática

Resumen

Flavonoid compounds modulate the cytochrome P450 3A4 enzyme activity and inhibit the mutagenic activity of mammalian cells, preventing carcinogen activation and cellular DNA damage. In this work, the quantitative structure-activity relationships (QSAR) theory is applied to predict the cytochrome P450 3A4 inhibition constant by anthocyanin derivatives. Different freely available software calculates 102,260 non-conformational molecular descriptors. A training set of 12 compounds is used to calibrate the best univariable linear regression models, while a test set of 4 compounds is used to explore their predictive capability. The present results are compared with previously reported ones by using 3D-QSAR, thus demonstrating that the proposed topological QSAR models achieve acceptable statistical quality. The proposed model provides a prospective QSAR guide for the search of new anthocyanin derivatives possessing high or low predicted mutagenicity.

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