Three-dimensional quantitative structure-activity relationship studies on c-Src inhibitors based on different docking methods.

c-Src kinase play an important role in cell growth and differentiation and its inhibitors can be useful for the treatment of various diseases, including cancer, osteoporosis, and metastatic bone disease. Three dimensional quantitative structure-activity relationship (3D-QSAR) studies were carried out on quinazolin derivatives inhibiting c-Src kinase. Molecular field analysis (MFA) models with four different alignment techniques, namely, GLIDE, GOLD, LIGANDFIT and Least squares based methods were developed.

Structural analysis of carboline derivatives as inhibitors of MAPKAP K2 using 3D QSAR and docking studies.

MAPKAPK2, a substrate of p38 MAPKs, plays central role in p38-mediated signal transduction, and its inhibitors are promisingly useful in the treatment of inflammatory diseases. The computational approaches comprising both ligand-based drug design and structure-based drug design were used as virtual screening strategies for the discovery of novel MK2 inhibitors. Two quantitative pharmacophore models were generated with a training set of 27 MK2 inhibitors using HypoGen module of CATALYST.

Quantitative structure activity relationship and pharmacophore studies of adenosine receptor A2B inhibitors.

Adenosine receptor A2B (ADoR A2B) is an important G protein-coupled receptor (GPCR) of the rhodopsin family, and plays a pivotal role in gastrointestinal, neurological and hypersensitive disorders. QSAR and pharmacophore studies were carried out using 63 ADoR A2B inhibitor molecules to characterize molecular features and structural requirements for biological interaction. QSAR modelling using genetic algorithm- partial least squares (G/PLS) method identified molecular shape, size electrophilicity and conformational flexibility as important descriptors for these compounds affinity to the receptor.