Support vector regression-based QSAR models for prediction of antioxidant activity of phenolic compounds

The Support vector regression (SVR) was used to investigate quantitative structure–activity relationships (QSAR) of 75 phenolic compounds with Trolox-equivalent antioxidant capacity (TEAC). Geometric structures were optimized at the EF level of the MOPAC software program. Using Pearson correlation c...

Descripción completa

Detalles Bibliográficos
Autor principal: Shi, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8062522/
https://www.ncbi.nlm.nih.gov/pubmed/33888843
http://dx.doi.org/10.1038/s41598-021-88341-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8062522/
https://www.ncbi.nlm.nih.gov/pubmed/33888843
http://dx.doi.org/10.1038/s41598-021-88341-1

Ejemplares similares