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1-(4-chlorophenylazo)-2-(1-pyrrolidino)ethene is a chemical with a specific purpose. Lookchem provides you with multiple data and supplier information of this chemical.

1079286-49-9

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1079286-49-9 Usage

Check Digit Verification of cas no

The CAS Registry Mumber 1079286-49-9 includes 10 digits separated into 3 groups by hyphens. The first part of the number,starting from the left, has 7 digits, 1,0,7,9,2,8 and 6 respectively; the second part has 2 digits, 4 and 9 respectively.
Calculate Digit Verification of CAS Registry Number 1079286-49:
(9*1)+(8*0)+(7*7)+(6*9)+(5*2)+(4*8)+(3*6)+(2*4)+(1*9)=189
189 % 10 = 9
So 1079286-49-9 is a valid CAS Registry Number.

1079286-49-9Downstream Products

1079286-49-9Relevant academic research and scientific papers

Antimicrobial and cytotoxic arylazoenamines. Part III: Antiviral activity of selected classes of arylazoenamines

Tonelli, Michele,Boido, Vito,Canu, Caterina,Sparatore, Anna,Sparatore, Fabio,Paneni, Maria Silvia,Fermeglia, Maurizio,Pricl, Sabrina,La Colla, Paolo,Casula, Laura,Ibba, Cristina,Collu, David,Loddo, Roberta

experimental part, p. 8447 - 8465 (2009/04/11)

Eighty-five arylazoenamines, characterized by different types of aryl and basic moieties, have been synthesized and evaluated in cell-based assays for cytotoxicity and antiviral activity against a panel of ten RNA and DNA viruses. The most commonly affected viruses were, in decreasing order, CVB-2, RSV, BVDV, YFV, and Sb-1; the remaining viruses were either not affected (HIV-1, VSV, and VV) or susceptible only to a very few compounds (Reo-1 and HSV-1). Thirty-five compounds exhibited high activity, with EC50 in the range 0.8-10 μM, and other 28 compounds had EC50 between 11 and 30 μM, thus indicating that the arylazoenamine molecular pattern is an interesting novel pharmacophore for antiviral agents against ssRNA viruses. Moreover, some compounds (as 28, 32, 42, and 53) appear of high interest, being devoid of toxicity on the human MT-4 cells (CC50 > 100 μM). A ligand-based computational approach was employed to identify highly predictive pharmacophore models for the most frequently affected viruses CVB-2, RSV, and BVDV. These models should allow the design of second generation of more potent inhibitors of these human and veterinary pathogens.

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