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3,4-DIHYDRO-6-PHENYL-2(1H)-QUINOLINONE is a chemical with a specific purpose. Lookchem provides you with multiple data and supplier information of this chemical.

736156-15-3

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736156-15-3 Usage

Check Digit Verification of cas no

The CAS Registry Mumber 736156-15-3 includes 9 digits separated into 3 groups by hyphens. The first part of the number,starting from the left, has 6 digits, 7,3,6,1,5 and 6 respectively; the second part has 2 digits, 1 and 5 respectively.
Calculate Digit Verification of CAS Registry Number 736156-15:
(8*7)+(7*3)+(6*6)+(5*1)+(4*5)+(3*6)+(2*1)+(1*5)=163
163 % 10 = 3
So 736156-15-3 is a valid CAS Registry Number.

736156-15-3Relevant academic research and scientific papers

Synthesis, biological activity, and three-dimensional quantitative structure-activity relationship model for a series of benzo[c]quinolizin-3-ones, nonsteroidal inhibitors of human steroid 5α-reductase 1

Occhiato, Ernesto G.,Ferrali, Alessandro,Menchi, Gloria,Guarna, Antonio,Danza, Giovanna,Comerci, Alessandra,Mancina, Rosa,Serio, Mario,Garotta, Gianni,Cavalli, Andrea,De Vivo, Marco,Recanatini, Maurizio

, p. 3546 - 3560 (2004)

New 5α-reductase 1 (5αR-1) inhibitors were designed to complete a consistent set of analogues suitable for a 3D QSAR study. These compounds were synthesized by a modification of the aza-Robinson annulation, further functionalized by Pd-catalyzed cross-coupling processes, and were tested with human 5αR-1 expressed in Chinese hamster ovary 1827 cells. It turned out that the potency of the resulting inhibitors was strongly dependent on the type of substitution at the 8 position, with the 1C50 values ranging from 8.1 to 1050 nM. The construction of this homogeneous set of molecules allowed a 3D QSAR study. In particular, comparative molecular field analysis (CoMFA) was used to correlate the potency of the inhibitors with their physicochemical features. Highly accurate evaluations of the atomic point charges were carried out by means of quantum chemical calculations at the DFT/B3LYP level of theory followed by the RESP fitting procedure. It turned out that increasing the reliability of electrostatic parameters greatly affected the statistical results of the QSAR analysis. The 3D QSAR model proposed could be very useful in the further development of 5αR-1 inhibitors, which are suitable candidates to be evaluated as drugs in the treatment of 5αR-1 related diseases such as acne and alopecia in men and hirsutism in women.

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