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(Z)-N-(1-chloro-1-(2-nitrophenyl)-3-oxo-3-(piperidin-1-yl)prop-1-en-2-yl)benzamide is a chemical with a specific purpose. Lookchem provides you with multiple data and supplier information of this chemical.

1800044-76-1

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1800044-76-1 Usage

Uses

Used in Pharmaceutical Industry:
(Z)-N-(1-chloro-1-(2-nitrophenyl)-3-oxo-3-(piperidin-1-yl)prop-1-en-2-yl)benzamide is used as a potential pharmacophore for [designing new drugs] due to [the presence of the benzamide moiety, which is common in many pharmaceutical compounds].
Used in Organic Synthesis:
(Z)-N-(1-chloro-1-(2-nitrophenyl)-3-oxo-3-(piperidin-1-yl)prop-1-en-2-yl)benzamide is used as a starting material for [preparing other complex molecules] because of [its unique structural features, including the nitro group and the double bond].
Used in Biochemistry Research:
(Z)-N-(1-chloro-1-(2-nitrophenyl)-3-oxo-3-(piperidin-1-yl)prop-1-en-2-yl)benzamide is used as a compound for [exploring its biological activity] given that [the piperidine ring is found in many drugs targeting the central nervous system].

Check Digit Verification of cas no

The CAS Registry Mumber 1800044-76-1 includes 10 digits separated into 3 groups by hyphens. The first part of the number,starting from the left, has 7 digits, 1,8,0,0,0,4 and 4 respectively; the second part has 2 digits, 7 and 6 respectively.
Calculate Digit Verification of CAS Registry Number 1800044-76:
(9*1)+(8*8)+(7*0)+(6*0)+(5*0)+(4*4)+(3*4)+(2*7)+(1*6)=121
121 % 10 = 1
So 1800044-76-1 is a valid CAS Registry Number.

1800044-76-1Downstream Products

1800044-76-1Relevant academic research and scientific papers

Synthesis and quantitative structure-activity relationships study for phenylpropenamide derivatives as inhibitors of hepatitis B virus replication

Yang, Jing,Ma, Min,Wang, Xue-Ding,Jiang, Xing-Jun,Zhang, Yuan-Yuan,Yang, Wei-Qing,Li, Zi-Cheng,Wang, Xi-Hong,Yang, Bin,Ma, Meng-Lin

, p. 82 - 91 (2015/07/27)

A series of new phenylpropenamide derivatives containing different substituents was synthesized, characterized and evaluated for their anti-hepatitis B virus (HBV) activities. The quantitative structure eactivity relationships (QSAR) of phenylpropenamide compound have been studied. The 2D-QSAR models, based on DFT and multiple linear regression analysis methods, revealed that higher values of total energy (TE) and lower entropy (Sθ) enhanced the anti-HBV activities of the phenylpropenamide molecules. Predictive 3D-QSAR models were established using SYBYL multifit molecular alignment rule. The optimum models were all statistically significant with cross-validated and conventional coefficients, indicating that they were reliable enough for activity prediction.

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