Please use this identifier to cite or link to this item:
|Type:||Artigo de periódico|
|Title:||Structure-activity relationship analysis of 4 '-bromo-[1,1 '-biphenyl]-4-yl 4-X-phenyl methanone derivatives and activity against Mycobacterium tuberculosis|
|Author:||de Souza, AO|
|Abstract:||Principal Component Analysis (PCA) and Artificial Neural Network (ANN) were used to analyze the relationship between the structure and the activities of a series of nine biphenylphenyl methanone derivatives against Mycobacterium tuberculosis in vitro. Both PCA and ANN were able to classify these derivatives in two categories: low active and highly active compounds. Empirical and theoretical descriptors were used in the classification process. The descriptors selected by PCA indicated that the reactivity plays an important role in the determination of antimycobacterial activity of biphenylphenyl methanone derivatives (BPM). The BPM showed a moderate activity against the M. tuberculosis strain tested with the exception of chloride-, bromide- and nitroderivatives (when X = Cl, Br, NO(2)) which were the most actives against M. tuberculosis in vitro among all the methanones studied.|
biphenyl methanone derivatives, antimycobacterial activity, principal component analysis, synthesis
|Editor:||Ecv-editio Cantor Verlag Medizin Naturwissenschaften|
|Citation:||Arzneimittel-forschung-drug Research. Ecv-editio Cantor Verlag Medizin Naturwissenschaften, v. 49, n. 12, n. 1025, n. 1029, 1999.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.