219314-77-9Relevant articles and documents
Biological Prediction from Computational Approach, Synthesis, and Biological Evaluations of Newer Thiazolidine-2,4-dione Conjugates
Patel, Jaydeep A.,Patel, Navin B.,Tople, Manesh S.
, p. 379 - 387 (2021/11/22)
Thiazolidine-2,4-dione is a toxophoric unit and its derivatives act as antimicrobial and antitubercular agents. Computational approach two-dimensional quantitative structure-activity relationship (2D-QSAR) was used to predict antitubercular activity of the thizolidine-2,4-dione derivatives. 2D-QSARS generated model using partial least squares regression method which predicted the statistically significant r2 = 0.3868, q2= 0.0193, pred_r2 = 0.5240, and F test = 3.7855. 2D-QSAR model equation denoted log(1/MIC) of the antitubercular activity correlated with thermodynamic descriptor SAMost Hydrophobic Hydrophilic Distance. Biological predicted derivatives of thiazolidine-2,4-dione (Z)-N-(2-(2,4-dichlorophenoxy)phenyl)-2-(5-substitutidene-2,4-dioxothiazolidin-3-yl)acetamide (C1-C10) were synthesized and spectrally evicted from IR, 1H NMR, 13C NMR and Mass spectral data analysis as well as biologically evaluated against antitubercular and antimicrobial activities. From the biologically evaluated derivatives, compounds C1, C2, C3 and C6 were found to be active against the different antimicrobial species. Compounds C1, C3 and C10 are more progressive than others against antitubercular species.
