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4-amino-N-(4H-1,2,4-triazol-4-yl)benzenesulfonamide is a chemical with a specific purpose. Lookchem provides you with multiple data and supplier information of this chemical.

17103-50-3

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17103-50-3 Usage

Check Digit Verification of cas no

The CAS Registry Mumber 17103-50-3 includes 8 digits separated into 3 groups by hyphens. The first part of the number,starting from the left, has 5 digits, 1,7,1,0 and 3 respectively; the second part has 2 digits, 5 and 0 respectively.
Calculate Digit Verification of CAS Registry Number 17103-50:
(7*1)+(6*7)+(5*1)+(4*0)+(3*3)+(2*5)+(1*0)=73
73 % 10 = 3
So 17103-50-3 is a valid CAS Registry Number.

17103-50-3Downstream Products

17103-50-3Relevant academic research and scientific papers

Synthesis, molecular structure, anticancer activity, and QSAR study of N-(Aryl/heteroaryl)-4-(1h-pyrrol-1-yl)benzenesulfonamide derivatives

?o?nowska, Beata,S?awiński, Jaros?aw,Brzozowski, Zdzis?aw,Kawiak, Anna,Belka, Mariusz,Zielińska, Joanna,Baczek?, Tomasz,Chojnacki, Jaros?aw

, (2018)

A series of N-(aryl/heteroaryl)-4-(1H-pyrrol-1-yl)benzenesulfonamides were synthesized from 4-amino-N-(aryl/heteroaryl)benzenesulfonamides and 2,5-dimethoxytetrahydrofuran. All the synthesized compounds were evaluated for their anticancer activity on HeLa, HCT-116, and MCF-7 human tumor cell lines. Compound 28, bearing 8-quinolinyl moiety, exhibited the most potent anticancer activity against the HCT-116, MCF-7, and HeLa cell lines, with IC50 values of 3, 5, and 7 μM, respectively. The apoptotic potential of the most active compound (28) was analyzed through various assays: phosphatidylserine translocation, cell cycle distribution, and caspase activation. Compound 28 promoted cell cycle arrest in G2/M phase in cancer cells, induced caspase activity, and increased the population of apoptotic cells. Relationships between structure and biological activity were determined by the QSAR (quantitative structure activity relationships) method. Analysis of quantitative structure activity relationships allowed us to generate OPLS (Orthogonal Projections to Latent Structure) models with verified predictive ability that point out key molecular descriptors influencing benzenosulfonamide’s activity.

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