Innovative computer-aided methods for the discovery of new kinase ligands.
Recent evidence points to significant roles played by protein kinases in cell signaling and cellular proliferation. Faulty protein kinases are involved in cancer, diabetes and chronic inflammation. Efforts are continuously carried out to discover new inhibitors for selected protein kinases. In this review, we discuss two new computer-aided methodologies we developed to mine virtual databases for new bioactive compounds. One method is ligand-based exploration of the pharmacophoric space of inhibitors of any particular biotarget followed by quantitative structure-activity relationship-based selection of the best pharmacophore(s). The second approach is structure-based assuming that potent ligands come into contact with binding site spots distinct from those contacted by weakly potent ligands. Both approaches yield pharmacophores useful as 3D search queries for the discovery of new bioactive (kinase) inhibitors.
Department of Pharmaceutical Sciences, Faculty of Pharmacy, The University of Jordan, 11942, Amman, Jordan.
Areej
A
Abuhammad
Department of Pharmaceutical Sciences, Faculty of Pharmacy, The University of Jordan, 11942, Amman, Jordan.
Mutasem
M
Taha
D001665:Binding Sites; D003201:Computers; D015195:Drug Design; D055808:Drug Discovery / Q000379:methods*; D008024:Ligands; D008958:Models, Molecular; D062105:Molecular Docking Simulation; D047428:Protein Kinase Inhibitors / Q000737:chemistry* / Q000378:metabolism / Q000494:pharmacology; D011494:Protein Kinases / Q000378:metabolism*; D021281:Quantitative Structure-Activity Relationship
D008024:Ligands; D047428:Protein Kinase Inhibitors; D011494:Protein Kinases
QSAR; docking-based comparative intermolecular contacts analysis; kinases; ligand-based design; pharmacophore exploration; structure-based design