Quantitative structure–activity relationships studies for prediction of antimicrobial activity of synthesized disulfonamide derivatives
摘要:
A new series of disulfonamides were synthesized and assayed as antimicrobial agents against Staphylococcus aureus, Bacillus cereus, and Escherichia coli. The quantitative structure-activity relationship analysis (QSAR) was applied to find out the correlation between experimentally evaluated antimicrobial activities with various parameters of the compounds using stepwise multiple liner regression method. The QSAR analysis revealed that the third-order average connectivity index ((3)chi(A)) was found to have negative correlation. The best QSAR models were further validated by leave-one-out method of cross-validation.
New aryldisulfonamides were synthesized and characterized by FTIR, H-1 NMR, C-13 NMR, HETCOR, COSY, LC-MS and elemental analysis techniques. The compounds gave intense emissions, where lambda(max) = 405, 379 and 402 nm, upon irradiation by Ultra-Violet light. The photoluminescence quantum yields and long excited-state lifetimes of the compounds were calculated and were found to have photoluminescence quantum yields 39 +/- 1.8%, 45 +/- 2.2% and 34 +/- 1.4% and long excited-state lifetimes of 3.65 +/- 0.16, 4.17 +/- 0.20 and 3.15 +/- 0.12 ns, respectively. The photoluminescence intensities and quantum yields of compounds varied with the position of substituent on the ring and the chain length between aromatic rings. These novel compounds may be of interest as organic emitting materials for electroluminescent devices. The visible absorption maxima were calculated using time-depended density-functional theory (ID-OFT) and Zerner's intermediate neglect of differential overlap/spectroscopic (ZINDO/S) method in the gas phase. Further, the compounds were evaluated for in vitro antimicrobial activity against various microorganisms by microdilution and disk diffusion methods. (C) 2011 Elsevier B.V. All rights reserved.
Quantitative structure–activity relationships studies for prediction of antimicrobial activity of synthesized disulfonamide derivatives
A new series of disulfonamides were synthesized and assayed as antimicrobial agents against Staphylococcus aureus, Bacillus cereus, and Escherichia coli. The quantitative structure-activity relationship analysis (QSAR) was applied to find out the correlation between experimentally evaluated antimicrobial activities with various parameters of the compounds using stepwise multiple liner regression method. The QSAR analysis revealed that the third-order average connectivity index ((3)chi(A)) was found to have negative correlation. The best QSAR models were further validated by leave-one-out method of cross-validation.