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22439-73-2

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22439-73-2 Usage

Check Digit Verification of cas no

The CAS Registry Mumber 22439-73-2 includes 8 digits separated into 3 groups by hyphens. The first part of the number,starting from the left, has 5 digits, 2,2,4,3 and 9 respectively; the second part has 2 digits, 7 and 3 respectively.
Calculate Digit Verification of CAS Registry Number 22439-73:
(7*2)+(6*2)+(5*4)+(4*3)+(3*9)+(2*7)+(1*3)=102
102 % 10 = 2
So 22439-73-2 is a valid CAS Registry Number.

22439-73-2Downstream Products

22439-73-2Relevant articles and documents

Antiproliferative novel isoxazoles: Modeling, virtual screening, synthesis, and bioactivity evaluation

Tzanetou, Evangelia,Liekens, Sandra,Kasiotis, Konstantinos M.,Melagraki, Georgia,Afantitis, Antreas,Fokialakis, Nikolas,Haroutounian, Serkos A.

, p. 139 - 149 (2014/06/09)

A series of novel isoxazole derivatives were efficiently synthesized through the adaptation/modification of an in situ synthetic procedure for pyrazoles. All novel compounds were tested against four different cell lines to evaluate their antiproliferative activity. Based on the Hela cells results of this study and previous work, a classification model to predict the anti-proliferative activity of isoxazole and pyrazole derivatives was developed. Random Forest modeling was used in view of the development of an accurate and reliable model that was subsequently validated. A virtual screening study was then proposed for the design of novel active derivatives. Compounds 9 and 11 demonstrated significant cytostatic activity; the fused isoxazole derivative 18 and the virtually proposed compound 2v, were proved at least 10 times more potent as compared to compound 9, with IC50 values near and below 1 μM. In conclusion, a new series of isoxazoles was exploited with some of them exhibiting promising cytostatic activities. Further studies on the substitution pattern of the isoxazole core can potentially provide compounds with cytostatic action at the nM scale. In this direction the in silico approach described herein can also be used to screen existing databases to identify derivatives with anticipated activity.

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