Learn More
A series of novel N(1)-{5-[(naphthalene-2-yloxy)methyl]-1,3,4-oxadiazol-2-yl}-N(4)-(4-substitutedbenzaldehyde)-semicarbazone, N(1)-{5-[(naphthalene-2-yloxy)methyl]-1,3,4-oxadiazol-2-yl}-N(4)-[1-(4-substitutedphenyl)ethanone]-semicarbazone and N(1)-{5-[(naphthalene-2-yloxy)methyl]-1,3,4-oxadiazol-2-yl}-N(4)-[1-(4-substitutedphenyl) (phenyl)(More)
Quantitative Structure-Activity Relationship (QSAR) is based on the hypothesis that changes in molecular structure reflect changes in the observed response or biological activity. The success of any quantitative structure–activity relationship model depends on the accuracy of the input data, selection of appropriate descriptors, statistical tools and the(More)
BACKGROUND Retroviruses rely on host factors for cell entry, replication, transcription, and other major steps during their life cycle. Human Immunodeficiency Virus-1 (HIV-1) is well known for utilizing a plethora of strategies to evade the host immune response, including the establishment of latent infection within a subpopulation of susceptible cells.(More)
Resistance of Mycobacterium tuberculosis strains is the major issue for many antimycobacterial agents. Quinoline compounds serve as antimycobacterial agents with encouraging anti-tubercular activity. A linear quantitative structure–activity relationship (QSAR) model is presented for modeling and predicting anti-tubercular activity of quinolone-3-carboxylic(More)
In a search of better InhA inhibitory activity, QSAR studies were performed on a series of B-ring modified diaryl ether derivatives. Stepwise multiple linear regression analysis was performed to derive QSAR models which were further evaluated for statistical significance and predictive power by internal and external validations. The best QSAR model showed(More)
Two-dimensional QSAR models were produced by stepwise multiple-linear regression and 3D QSAR models were developed by k-nearest neighbor-molecular field analysis on a database consists of 18 diaryl pyrimidine analogs. The developed QSAR model was evaluated for statistical significance and predictive power. The key conclusion of this study is that the(More)
  • 1