Non-Linear Quantitative Structure–Activity Relationships Modelling, Mechanistic Study and In-Silico Design of Flavonoids as Potent Antioxidants

In this work, we developed quantitative structure–activity relationships (QSAR) models for prediction of oxygen radical absorbance capacity (ORAC) of flavonoids. Both linear (partial least squares—PLS) and non-linear models (artificial neural networks—ANNs) were built using parameters of two well-es...

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Detalles Bibliográficos
Autores principales: Žuvela, Petar, David, Jonathan, Yang, Xin, Huang, Dejian, Wong, Ming Wah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539043/
https://www.ncbi.nlm.nih.gov/pubmed/31083440
http://dx.doi.org/10.3390/ijms20092328

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539043/
https://www.ncbi.nlm.nih.gov/pubmed/31083440
http://dx.doi.org/10.3390/ijms20092328

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