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• W2556125832 startingPage "1563" @default.
• W2556125832 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." @default.
• W2556125832 created "2016-11-30" @default.
• W2556125832 creator A5019183005 @default.
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• W2556125832 date "2016-11-17" @default.
• W2556125832 modified "2023-09-26" @default.
• W2556125832 title "Quantitative Structure Activity Relationship of Cinnamaldehyde Compounds against Wood-Decaying Fungi" @default.
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• W2556125832 doi "https://doi.org/10.3390/molecules21111563" @default.
• W2556125832 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6273752" @default.
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• W2556125832 hasPublicationYear "2016" @default.
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