This paper provides an overview of recently developed two dimensional (2D) fragment-based QSAR methods as well as other multi-dimensional approaches. In particular, we present recent fragment-based QSAR methods such as fragment-similarity-based QSAR (FS-QSAR), fragment-based QSAR (FB-QSAR), Hologram QSAR (HQSAR), and top priority fragment QSAR in addition to 3D- and nD-QSAR methods such as comp...

This study gives a quantitative structure activity relationship (QSAR) correlation of the thirty five flavonoid derivatives having 1, 1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging activities reported by Seyoum et al. The study was performed using electrotopological state atom (E-state) parameter as descriptors. Stepwise regression analysis was used as a chemometric tool. The predictive ...

MX and its analogs are synthesized and modeled by quantitative structure activity relationship (QSAR) study including comparative molecular field analysis (CoMFA). As a result, factors affecting this class of compounds have been found to be steric and electrostatic effects. Because hologram quantitative structure activity relationship (HQSAR) technique is based on the 2-dimensional descriptors,...

Dihydrofolate reductase is known for important role in cancer and microbial diseases and hence is considered as validated target for aforementioned diseases. Three dimensional quantitative structure activity relationship studies (3D-QSAR) involving comparative molecular field analysis (CoMFA) and comparative similarity indices analysis (CoMSIA) were performed using twenty two Pneumocystis carin...

This article is about the hierarchical quantitative structure-activity relationship technology (HiT QSAR) based on the Simplex representation of molecular structure (SiRMS) and its application for different QSAR/QSP(property)R tasks. The essence of this technology is a sequential solution (with the use of the information obtained on the previous steps) to the QSAR problem by the series of enhan...

Correction for the nonspecific binding (NSB) of drugs to liver microsomes is essential for the accurate measurement of the kinetic parameters Km and Ki, and hence in vitro–in vivo extrapolation to predict hepatic clearance and drug–drug interaction potential. Although a number of computational approaches for the estimation of drug microsomal NSB have been published, they generally rely on compo...