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5-fluoro-isatin-3-(N-benzylthiosemicarbazone) is a chemical with a specific purpose. Lookchem provides you with multiple data and supplier information of this chemical.

903360-90-7

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903360-90-7 Usage

Check Digit Verification of cas no

The CAS Registry Mumber 903360-90-7 includes 9 digits separated into 3 groups by hyphens. The first part of the number,starting from the left, has 6 digits, 9,0,3,3,6 and 0 respectively; the second part has 2 digits, 9 and 0 respectively.
Calculate Digit Verification of CAS Registry Number 903360-90:
(8*9)+(7*0)+(6*3)+(5*3)+(4*6)+(3*0)+(2*9)+(1*0)=147
147 % 10 = 7
So 903360-90-7 is a valid CAS Registry Number.

903360-90-7Downstream Products

903360-90-7Relevant academic research and scientific papers

Synthesis and structure-antituberculosis activity relationship of 1H-indole-2,3-dione derivatives

Karali, Nilguen,Guersoy, Aysel,Kandemirli, Fatma,Shvets, Nathaly,Kaynak, F. Betuel,Oezbey, Sueheyla,Kovalishyn, Vasyl,Dimoglo, Anatholy

, p. 5888 - 5904 (2007)

New series of 5-fluoro-1H-indole-2,3-dione-3-thiosemicarbazones 2a-k and 5-fluoro-1-morpholino/piperidinomethyl-1H-indole-2,3-dione-3-thiosemicarbazones 3a-r were synthesized. The structures of the synthesized compounds were confirmed by spectral data, elemental and single crystal X-ray diffraction analysis. The new 5-fluoro-1H-indole-2,3-dione derivatives, along with previously reported 5-nitro-1H-indole-2,3-dione-3-thiosemicarbazones 2l-v, 1-morpholino/piperidinomethyl-5-nitro-1H-indole-2,3-dione-3-thiosemicarbazones 4a-l, and 5-nitro-1H-indole-2,3-dione-3-[(4-oxo-1,3-thiazolidin-2-ylidene)hydrazones] 5a-s, were evaluated for in vitro antituberculosis activity against Mycobacterium tuberculosis H37Rv. Among the tested compounds, 5-nitro-1H-indole-2,3-dione-3-thiosemicarbazones (2p, 2r, and 2s) and its 1-morpholinomethyl derivatives (4a, 4e, 4g, and 4i) exhibited significant inhibitory activity in the primary screen. The antituberculosis activity of molecules with diverse skeletons was investigated by means of the Electronic-Topological Method (ETM). Ten pharmacophores and ten anti-pharmacophores that have been found by this form the basis of the system capable of predicting the structures of potentially active compounds. The forecasting ability of the system has been tested on structures that differ from those synthesized. The probability of correct identification for active compounds was found as equal to 93% in average. To obtain the algorithmic base for the activity prediction, Artificial Neural Networks were used after the ETM (the so-called combined ETM-ANN method). As the result, only 9 pharmacophores and anti-pharmacophores were chosen as the most important ones for the activity. By this, ANNs classified correctly 94.4%, or 67 compounds from 71.

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