Saja Alqtaishat

Pharmacophore modeling, homology modeling, and in silico screening reveal mammalian target of rapamycin inhibitory activities for sotalol, glyburide, metipranolol, sulfamethizole, glipizide, and pioglitazone

Mohammad A. Khanfar, Majed AbuKhader, Saja Alqtaishat et al. · Journal of Molecular Graphics and Modelling · 2013 · 42 citations

Biochemistry, Medicine, Rapamycin Inhibitory Activities +11

Elaborate ligand-based modeling reveal new submicromolar Rho kinase inhibitors

Rand Shahin, Saja Alqtaishat, Mutasem O. Taha · Journal of Computer-Aided Molecular Design · 2011 · 38 citations

Medicine, Receptor Tyrosine Kinase, Pharmacology +4

Discovery of potent adenosine A2a antagonists as potential anti-Parkinson disease agents. Non-linear QSAR analyses integrated with pharmacophore modeling

Mohammad A. Khanfar, Saja Alqtaishat, Maha Habash et al. · Chemico-Biological Interactions · 2016 · 19 citations

Biochemistry, Functional Selectivity, Medicine +7

Discovery of potent NEK2 inhibitors as potential anticancer agents using structure-based exploration of NEK2 pharmacophoric space coupled with QSAR analyses

Mohammad A. Khanfar, Fahmy Banat, Shada J. Alabed et al. · Molecular Diversity · 2016 · 13 citations

Medicinal Chemistry, Drug Target, Medicine +11

Discovery of potent IRAK-4 inhibitors as potential anti-inflammatory and anticancer agents using structure-based exploration of IRAK-4 pharmacophoric space coupled with QSAR analyses

Mohammad A. Khanfar, Saja Alqtaishat · Computational Biology and Chemistry · 2019 · 11 citations

Medicinal Chemistry, Drug Target, Potent Irak-4 Inhibitors +10