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2-(2,4-dihydroxyphenyl)-2-methyl-1,3,4-oxadiazinan-5-one is a chemical with a specific purpose. Lookchem provides you with multiple data and supplier information of this chemical.

1415662-36-0

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1415662-36-0 Usage

Check Digit Verification of cas no

The CAS Registry Mumber 1415662-36-0 includes 10 digits separated into 3 groups by hyphens. The first part of the number,starting from the left, has 7 digits, 1,4,1,5,6,6 and 2 respectively; the second part has 2 digits, 3 and 6 respectively.
Calculate Digit Verification of CAS Registry Number 1415662-36:
(9*1)+(8*4)+(7*1)+(6*5)+(5*6)+(4*6)+(3*2)+(2*3)+(1*6)=150
150 % 10 = 0
So 1415662-36-0 is a valid CAS Registry Number.

1415662-36-0Downstream Products

1415662-36-0Relevant academic research and scientific papers

Synthesis, characterization, biological evaluation and in silico screening of oxadiazinanones

Parveen, Mehtab,Ali, Akhtar,Alam, Mahboob,Khan, Asad U.,Ahmad, Anis

, p. 3085 - 3095 (2013)

A series of novel oxadiazinan-5-one namely 2-methyl-2-phenyl-1,3,4- oxadiazinan-5-one (6), 2-(3-hydroxyphenyl)-2-methyl-1,3,4-oxadiazinan-5-one (7), 2-(4-hydroxyphenyl)-2-methyl-1,3,4-oxadiazinan-5-one (8), 2-(2,4- dihydroxyphenyl)-2-methyl-1,3,4-oxadiazinan-5-one (9) and 2-(2,5- dihydroxyphenyl)-2-methyl-1,3,4-oxadiazinan-5-one (10) have been synthesized by the reaction of acetophenone and its derivatives with cyanoacetic acid hydrazide. The structural assignments of the products were done on the basis of IR, 1H NMR, 13C NMR, MS, and analytical data. The in vitro antioxidant and antimicrobial activity of all the synthesized compounds (6-10) was tested by the DPPH and disk diffusion method, respectively. The synthesized compounds were screened against Gram-positive and Gram-negative bacterial and fungal strains. Compound (7) showed the highest inhibition comparable with the standard antibiotic drugs Ciprofloxacin and Amphotericin B. The antibacterial activity of the synthesized compounds was further investigated with the help of in silico docking study using Discovery studio 3.1, Molego Virtual Docker and LigandScout to predict the active sites.

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