Quantitative Structure Activity Relationship of Cinnamaldehyde Compounds against Wood-Decaying Fungi.
Molecules
; 21(11)2016 Nov 17.
Article
en En
| MEDLINE
| ID: mdl-27869684
ABSTRACT
Cinnamaldehyde, of the genius Cinnamomum, is a major constituent of the bark of the cinnamon tree and possesses broad-spectrum antimicrobial activity. In this study, we used best multiple linear regression (BMLR) to develop quantitative structure activity relationship (QSAR) models for cinnamaldehyde derivatives against wood-decaying fungi Trametes versicolor and Gloeophyllun trabeum. Based on the two optimal QSAR models, we then designed and synthesized two novel cinnamaldehyde compounds. The QSAR models exhibited good correlation coefficients R²Tv = 0.910 for Trametes versicolor and R²Gt = 0.926 for Gloeophyllun trabeum. Small errors between the experimental and calculated values of two designed compounds indicated that these two QSAR models have strong predictability and stability.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Acroleína
/
Trametes
/
Antifúngicos
Tipo de estudio:
Prognostic_studies
Idioma:
En
Revista:
Molecules
Asunto de la revista:
BIOLOGIA
Año:
2016
Tipo del documento:
Article
País de afiliación:
China