N-Fluorinated phenyl-N'-pyrimidyl urea derivatives: Synthesis, biological evaluation and 3D-QSAR study

With the increase of herbicide-resistant weeds, novel, more selective and even more potent herbicides to control weeds are needed. In this paper, a series of N-fluorinated phenyl-N'-pyrimidyl urea derivatives were synthesized and screened for their herbicidal activities against Amaranthus retroflexu...

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Bibliographic Details
Published in:Chinese chemical letters Vol. 25; no. 7; pp. 1069 - 1072
Main Authors: Yue, Xia-Li, Li, Hu, Liu, Shuang-Shuang, Zhang, Qing-Ye, Yao, Jing-Jing, Wang, Fei-Yan
Format: Journal Article
Language:English
Published: Elsevier B.V 01-07-2014
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Summary:With the increase of herbicide-resistant weeds, novel, more selective and even more potent herbicides to control weeds are needed. In this paper, a series of N-fluorinated phenyl-N'-pyrimidyl urea derivatives were synthesized and screened for their herbicidal activities against Amaranthus retroflexus (AR) and Setaria viridis ( SV). Compound 2S (N-(3-trifluoromethylphenyl)-N'-(2-amino-4-chloro-6-methylpyr- imidyl) urea) exhibited marked herbicidal activity against SV(IC50 =11.67 mg/L) and is more potent than bensulfuron (IC50= 27.45 mg/L), a commercially available herbicide. A statistically significant CoMFA model with high prediction abilities (q2 = 0.869, r2 = 0.989) was obtained.
Bibliography:Fluorinated phenyl;Pyrimidine;QSAR;Herbicidal activities
11-2710/O6
With the increase of herbicide-resistant weeds, novel, more selective and even more potent herbicides to control weeds are needed. In this paper, a series of N-fluorinated phenyl-N'-pyrimidyl urea derivatives were synthesized and screened for their herbicidal activities against Amaranthus retroflexus (AR) and Setaria viridis ( SV). Compound 2S (N-(3-trifluoromethylphenyl)-N'-(2-amino-4-chloro-6-methylpyr- imidyl) urea) exhibited marked herbicidal activity against SV(IC50 =11.67 mg/L) and is more potent than bensulfuron (IC50= 27.45 mg/L), a commercially available herbicide. A statistically significant CoMFA model with high prediction abilities (q2 = 0.869, r2 = 0.989) was obtained.
ISSN:1001-8417
1878-5964
DOI:10.1016/j.cclet.2014.03.046