178691-47-9 Usage
Uses
Used in Pharmaceutical Industry:
N-Depropyl N-Benzyl Propafenone is used as a key intermediate in the synthesis of Propafenone analogues. These analogues are being investigated for their potential as antimalarial agents, offering a new avenue for the development of treatments against malaria.
In the preparation of these analogues, N-Depropyl N-Benzyl Propafenone serves as a crucial building block, allowing chemists to modify the structure of Propafenone and explore its therapeutic potential beyond its original use as an antiarrhythmic drug. This innovative approach highlights the importance of chemical modification in drug discovery and development, as it can lead to the creation of new and more effective medications for various diseases, including malaria.
Check Digit Verification of cas no
The CAS Registry Mumber 178691-47-9 includes 9 digits separated into 3 groups by hyphens. The first part of the number,starting from the left, has 6 digits, 1,7,8,6,9 and 1 respectively; the second part has 2 digits, 4 and 7 respectively.
Calculate Digit Verification of CAS Registry Number 178691-47:
(8*1)+(7*7)+(6*8)+(5*6)+(4*9)+(3*1)+(2*4)+(1*7)=189
189 % 10 = 9
So 178691-47-9 is a valid CAS Registry Number.
178691-47-9Relevant academic research and scientific papers
Structure-activity relationship studies on benzofuran analogs of propafenone-type modulators of tumor cell multidrug resistance
Ecker,Chiba,Hitzler,Schmid,Visser,Cordes,Csollei,Seydel,Schaper
, p. 4767 - 4774 (2007/10/03)
A series of benzofurylethanolamine analogs of propafenone (1a) have been prepared and evaluated for multidrug resistance-reversing activity in two in vitro assay systems. As for propafenones, an excellent correlation of biological data with calculated lipophilicity values was found for benzofurans, whereby the latter generally had lower activity/lipophilicity ratios. Almost identical slopes of the regression lines were obtained for both propafenones and benzofurans. Multiple linear regression analysis of the complete data set yielded an equation with excellent predictive power (r2(cross-valid) = 0.968). Interaction measurements with artificial membranes indicated that the differences in activity between these two series of compounds are not due to differences in the interaction pattern with biological membranes.