Title:Discovery of Potent Bruton’s Tyrosine Kinase Inhibitors Using Ligand Based Modeling
VOLUME: 17 ISSUE: 2
Author(s):Wafa A. Mera, Malek Alzihlif, Mutasem O. Taha and Mohammad A. Khanfar
Affiliation:Department of Pharmaceutical Sciences, Faculty of Pharmacy, The University of Jordan, Amman 11942,, Department of Pharmaceutical Sciences, Faculty of Pharmacy, The University of Jordan, Amman 11942
Keywords:BTK, QSAR, Pharmacophore, anticancer, multiple linear regression.
Abstract:Background: Bruton’s Tyrosine Kinase (BTK) is a one of the Tec tyrosine kinase family. It has an essential
role in B-cell development and function. Activation of BTK has been associated with the pathogenesis of many types
of lymphomas and leukemia, and involved in non-life threatening autoimmune diseases.
Objective: In this study, exhaustive pharmacophore modeling was combined with QSAR analyses to examine the
structural requirements for anti-BTK activities.
Method: Genetic function algorithm (GFA) was coupled with multiple linear regression (MLR) analysis to select the
best combinations of physicochemical descriptors and pharmacophoric hypothesis capable of generating predictive and
self-consistent QSAR models. The optimum pharmacophores were decorated with exclusion volumes to improve their
receiver operating characteristic (ROC) curve properties. The best predictive QSAR model and its corresponding
pharmacophore models were validated by discovering of novel promising BTK inhibitors retrieved from the National
Cancer Institute (NCI) database.
Results: Several potent hits exhibited anti-proliferative activities on U-937 cell-line in low micromolar IC50, and one
active compound showed nontoxic activities on normal fibroblast cell line.
Conclusion: Our efforts culminated in the identification of potent BTK ligands having desired inhibitory activities and
structurally distinct from known active reference compounds (i.e., training compounds) and represent new chemotypes.
