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dc.creatorFreitas, Mirlaine R.-
dc.creatorMatias, Stella V. B. G.-
dc.creatorMacedo, Renato L. G.-
dc.creatorFreitas, Matheus P.-
dc.creatorVenturin, Nelson-
dc.date.accessioned2020-07-12T23:25:45Z-
dc.date.available2020-07-12T23:25:45Z-
dc.date.issued2013-08-15-
dc.identifier.citationFREITAS, M. R. et al. Augmented multivariate image analysis applied to quantitative structure-activity relationship modeling of the phytotoxicities of benzoxazinone herbicides and related compounds on problematic weeds. Journal of Agricultural and Food Chemistry, [S.l.], v. 61, n. 36, p. 8499-8503, Aug. 2013. DOI: 10.1021/jf4024257.pt_BR
dc.identifier.urihttps://pubs.acs.org/doi/10.1021/jf4024257pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/41834-
dc.description.abstractTwo of major weeds affecting cereal crops worldwide are Avena fatua L. (wild oat) and Lolium rigidum Gaud. (rigid ryegrass). Thus, development of new herbicides against these weeds is required; in line with this, benzoxazinones, their degradation products, and analogues have been shown to be important allelochemicals and natural herbicides. Despite earlier structure–activity studies demonstrating that hydrophobicity (log P) of aminophenoxazines correlates to phytotoxicity, our findings for a series of benzoxazinone derivatives do not show any relationship between phytotoxicity and log P nor with other two usual molecular descriptors. On the other hand, a quantitative structure–activity relationship (QSAR) analysis based on molecular graphs representing structural shape, atomic sizes, and colors to encode other atomic properties performed very accurately for the prediction of phytotoxicities of these compounds against wild oat and rigid ryegrass. Therefore, these QSAR models can be used to estimate the phytotoxicity of new congeners of benzoxazinone herbicides toward A. fatua L. and L. rigidum Gaud.pt_BR
dc.languageen_USpt_BR
dc.publisherAmerican Chemical Society (ACS)pt_BR
dc.rightsrestrictAccesspt_BR
dc.sourceJournal of Agricultural and Food Chemistrypt_BR
dc.subjectBioinformaticspt_BR
dc.subjectComputational biologypt_BR
dc.subjectReaction productspt_BR
dc.subjectStructure activity relationshippt_BR
dc.subjectPest controlpt_BR
dc.subjectToxicitypt_BR
dc.titleAugmented multivariate image analysis applied to quantitative structure-activity relationship modeling of the phytotoxicities of benzoxazinone herbicides and related compounds on problematic weedspt_BR
dc.typeArtigopt_BR
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