Quantitative Structure-Antifungal Activity Relationships for cinnamate derivatives

被引:3
|
作者
Saavedra, Laura M. [1 ]
Ruiz, Diego [2 ]
Romanelli, Gustavo P. [2 ,3 ]
Duchowicz, Pablo R. [1 ]
机构
[1] UNLP, CCT La Plata CONICET, Inst Invest Fisicoquim Teor & Aplicadas INIFTA, RA-1900 La Plata, Buenos Aires, Argentina
[2] UNLP, Fac Ciencias Agr & Forestalea, Curso Quim Organ, RA-B1904AAN La Plata, Buenos Aires, Argentina
[3] UNLP CCT CONICET, Ctr Invest & Desarrollo Ciencias Aplicada Dr JJ R, Dept Quim, Fac Ciencias Exactas, RA-B1900AJK La Plata, Buenos Aires, Argentina
关键词
Cinnamate derivatives; Antifungal activity; QSAR theory; Molecular descriptors; ENHANCED REPLACEMENT METHOD; AGROCHEMICAL FUNGICIDES; RATIONAL DESIGN; QSAR; ACIDS; DIHYDROCOUMARINS; DESCRIPTORS; ALGORITHM; CATALYST; PHENOLS;
D O I
10.1016/j.ecoenv.2015.09.024
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Quantitative Structure-Activity Relationships (QSAR) are established with the aim of analyzing the fungicidal activities of a set of 27 active cinnamate derivatives. The exploration of more than a thousand of constitutional, topological, geometrical and electronic molecular descriptors, which are calculated with Dragon software, leads to predictions of the growth inhibition on Pythium sp and Corticium rolfsii fungi species, in close agreement to the experimental values extracted from the literature. A set containing 21 new structurally related cinnamate compounds is prepared. The developed QSAR models are applied to predict the unknown fungicidal activity of this set, showing that cinnamates like 38,28 and 42 are expected to be highly active for Pythium sp, while this is also predicted for 28 and 34 in C. rolfsii. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:521 / 527
页数:7
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