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Título del libro: Volume 1: Fundamental Concepts
Título del capítulo: Prediction of toxicity of secondary metabolites

Autores UNAM:
RICARDO BRUNO HERNANDEZ ALVARADO; ABRAHAM MADARIAGA MAZON; KARINA MARTINEZ MAYORGA;
Autores externos:

Idioma:

Año de publicación:
2020
Palabras clave:

Computational toxicology; Drug discovery; Pesticides; Predictive models; QSAR; Secondary metabolites


Resumen:

The prediction of toxicological endpoints has gained broad acceptance; it is widely applied in early stages of drug discovery as well as for impurities obtained in the production of generic or equivalent products. In this work, we describe methodologies for the prediction of toxicological endpoints compounds, with a particular focus on secondary metabolites. Case studies include toxicity prediction of natural compound databases with anti-diabetic, anti-malaria and anti-HIV properties. © 2020 Walter de Gruyter GmbH, Berlin/Boston. All rights reserved.


Entidades citadas de la UNAM: