A QSAR study on 2-(4-methylpiperazin-1-yl)quinoxalines as human histamine H4 receptor ligands.

The histamine H(4) receptor binding affinity of 2-(4-methylpiperazin-1-yl)quinoxaline derivatives has been quantitatively analyzed in terms of Dragon descriptors. The derived QSAR models have provided rationales to explain the activity of titled derivatives. The descriptors identified in CP-MLR analysis have highlighted the role of path/walk 4-Randic shape index (PW4), mean square distance (MSD) index, topological charges (GGI9, JGI2, and JGI7), atomic properties in respective lags of 2D-autocorrelations (MATS7e, GATS7e, and MATS8p), and Burden matrix (BELm1) to explain the binding affinity.

A rationale for the activity profile of benzenesulfonamide derivatives as cyclooxygenase (COX) inhibitors.

The COX inhibition actions of benzenesulfonamides have been analyzed in terms of 0D-, 1D- and 2D-DRAGON descriptors using combinatorial protocol in multiple linear regression (CP-MLR). The derived QSAR models revealed that higher values of BEHm2 (the highest eigenvalue n.2 of Burden matrix) and C-009 (fragment CHRX2) and lower value of MATS2m (atomic masses weighted Moran autocorrelation of lag 2) are advantageous to the COX-2 inhibition activity.

CP-MLR/PLS directed QSAR study on apical sodium-codependent bile acid transporter inhibition activity of benzothiepines.

The apical sodium-codependent bile acid transporter (ASBT) inhibition activity of benzothiepine derivatives have been analyzed based on topological and molecular features. Analysis of the structural features in conjunction with the biological endpoints in Combinatorial Protocol in Multiple Linear Regression (CP-MLR) led to the identification of 21 descriptors for modeling the activity. The study clearly suggested that the role of Randic shape index (path/walk ratio 3) and topological charges of 2-, 5-, and 6-orders to optimize the ASBT inhibitory activity of titled compounds.

Chemometric descriptors in modeling the carbonic anhydrase inhibition activity of sulfonamide and sulfamate derivatives.

The carbonic anhydrase inhibition activities of sulfonamide and sulfamate derivatives have been quantitatively expressed in terms of MOE descriptors representing the 2D-features of compounds following combinatorial protocol in multiple linear regression (CP-MLR). The derived QSAR models have shown that partially charged and polarized surface areas in particular ranges, hydrophobicity, connectivity, information content, van der Waals surface area of the pharmacophore, and certain structural features such as the number of hydrogen and chlorine atoms, aromatic bonds of the molecules hold promise for rationalizing the different carbonic anhydrase inhibitory actions of titled compounds. The values, greater than 0.