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O,O-dimethyl-1-(3,4-dichlorophenoxyacetoxy)ethylphosphonate is a chemical with a specific purpose. Lookchem provides you with multiple data and supplier information of this chemical.

1246091-39-3

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1246091-39-3 Usage

Check Digit Verification of cas no

The CAS Registry Mumber 1246091-39-3 includes 10 digits separated into 3 groups by hyphens. The first part of the number,starting from the left, has 7 digits, 1,2,4,6,0,9 and 1 respectively; the second part has 2 digits, 3 and 9 respectively.
Calculate Digit Verification of CAS Registry Number 1246091-39:
(9*1)+(8*2)+(7*4)+(6*6)+(5*0)+(4*9)+(3*1)+(2*3)+(1*9)=143
143 % 10 = 3
So 1246091-39-3 is a valid CAS Registry Number.

1246091-39-3Downstream Products

1246091-39-3Relevant academic research and scientific papers

Synthesis and 3D-QSARs analyses of herbicidal O,O-Dialkyl-1-phenoxyacetoxy- 1-methylphosphonate analogues as a new class of potent inhibitors of pyruvate dehydrogenase

Soung, Min-Gyu,Hwang, Tae-Yeon,Sung, Nack-Do

experimental part, p. 1361 - 1367 (2010/10/02)

A series of O,O-dialkyl-1-phenoxyacetoxy-1-methylphosphonate analogues (122) as a new class of potent inhibitors of pyruvate dehydrogenase were synthesized and 3D-QSARs (three dimensional qantitative structure-activity relationships) models on the pre-emergency herbicidal activity against the seed of cucumber (Cucumus Sativa L.) were derived and discussed quantitatively using comparative molecular field analysis (CoMFA) and comparative molecular similarity indeces analysis (CoMSIA) methods. The statistical values of CoMSIA models were better predictability and fitness than those of CoMFA models. The inhibitory activities according to the optimized CoMSIA model I were dependent on the electrostatic field (41.4%), the H-bond acceptor field (26.0%), the hydrophobic field (20.8%) and the steric field (11.7%). And also, it was found that the optimized CoMSIA model I with the sensitivity to the perturbation (dq 2'/dr2 yy' = 0.830) and the prediction (q2 = 0.503) produced by a progressive scrambling analyses were not dependent on chance correlation. From the results of graphical analyses on the contour maps with the optimized CoMSIA model I, it is expected that the structural distinctions and descriptors that subscribe to herbicidal activities will be able to apply new an herbicide design.

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