2009
DOI: 10.1007/s11030-009-9183-3
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Pharmacophore generation and atom-based 3D-QSAR of novel 2-(4-methylsulfonylphenyl)pyrimidines as COX-2 inhibitors

Abstract: Cyclooxygenase-2 (COX-2) inhibitors are widely used for the treatment of pain and inflammatory disorders such as rheumatoid arthritis and osteoarthritis. A series of novel 2-(4-methylsulfonylphenyl)pyrimidine derivatives has been reported as COX-2 inhibitors. In order to understand the structural requirement of these COX-2 inhibitors, a ligand-based pharmacophore and atom-based 3D-QSAR model have been developed. A five-point pharmacophore with four hydrogen bond acceptors (A) and one hydrogen bond donor (D) wa… Show more

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Cited by 50 publications
(29 citation statements)
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“…For a model generation, the entire data set was divided into a training set (70%) and test set (30%) in a random manner using "Automated Random Selection" option available in PHASE module [18]. PHASE has two approaches for building 3D-QSAR model-pharmacophore based and atom based approach.…”
Section: Building 3d-qsar Modelmentioning
confidence: 99%
“…For a model generation, the entire data set was divided into a training set (70%) and test set (30%) in a random manner using "Automated Random Selection" option available in PHASE module [18]. PHASE has two approaches for building 3D-QSAR model-pharmacophore based and atom based approach.…”
Section: Building 3d-qsar Modelmentioning
confidence: 99%
“…Conformers with a higher value than this threshold energy were discarded. All distances between pairs of corresponding heavy atoms were kept below 1.00 Å for two conformers to be considered identical [21]. In the pharmacophore creating step, each ligand structure is represented by a set of points in 3D space, which coincide with various chemical features that may facilitate non-covalent binding between the compound and its target receptor.…”
Section: Datasetmentioning
confidence: 99%
“…Focusing only on those pharmacophore models whose scores ranked in the top 1% [21], the most predictive QSAR model was found to be associated with the five point hypothesis AAAHH (Three hydrogen bond acceptor and two hydrophobic functions). The pharmacophoric inter sites distance and angles are shown in fig.…”
Section: Pharmacophore Modelingmentioning
confidence: 99%
“…These CPHs were then examined using a scoring function in the "Score Hypotheses" panel to yield the best alignment of the active ligands [23] . We performed atom-based 3D-QSAR, as it takes into account the entire molecular structure [23][24][25][26] . We evaluated the best scoring hypothesis [27,28] by generating training and test sets using K-means clustering [29,30] .…”
Section: Computational Detailsmentioning
confidence: 99%