The Structure - Antituberculosis Activity Relationships Study in a Series of 5-(4-Aminophenyl)-4-Substituted-2,4-Dihydro-3h-1,2,4-Triazole-3-Thione Derivatives. A Combined Electronic-Topological and Neural Networks Approach

Author(s): Fatma Kandemirli, Nathali Shvets, Seda Unsalan, Ilkay Kucukguzel, Sevim Rollas, Vasyl Kovalishyn, Anatholy Dimoglo.

Journal Name: Medicinal Chemistry

Volume 2 , Issue 4 , 2006

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Abstract:

Antituberculosis activity of several 5-(4-aminophenyl)-4-alkyl/aryl-2,4-dihydro-3H-1,2,4-triazole-3-thiones (1- 9) and their thiourea derivatives (10-31) were screened for their antimycobacterial activities against Mycobacterium tuberculosis H37Rv using the BACTEC 460 radiometric system. Of the synthesized compounds, 10-12, 30 were the most active derivatives exhibiting more than 90 % inhibition of mycobacterial growth at 12.5 μg/mL. Structure-activity relationships study was performed for the given series by using the Electronic-Topological Method combined with Neural Networks (ETM-NN). A system of prognosis was developed as the result of training associative neural network (ASNN) using weights of pharmacophoric fragments as descriptors. Descriptors were calculated by the projection of ETM compound and pharmacophoric fragments on the elements of Kohonens self-organizing maps (SOM). From the detailed analysis of all compounds under study, the necessary requirements for a compound to possess antituberculosis activity were formulated. The analysis have shown that any requirements violation for a molecule implies a considerable decrease or even complete loss of its activity.

Keywords: Antituberculosis activity, structure-activity relationships, electronic-topological method, neural networks

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Article Details

VOLUME: 2
ISSUE: 4
Year: 2006
Page: [415 - 422]
Pages: 8
DOI: 10.2174/157340606777724013
Price: $58

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