Generic placeholder image

Letters in Drug Design & Discovery

Editor-in-Chief

ISSN (Print): 1570-1808
ISSN (Online): 1875-628X

Computational Docking Studies of Novel Heterocyclic Carboxamides as Potential PI3Kα Inhibitors

Author(s): Kamal Sweidan, Dima A. Sabbah, Jorn Engelmann, Heba Abdel-Halim and Ghassan Abu Sheikha

Volume 12, Issue 10, 2015

Page: [856 - 863] Pages: 8

DOI: 10.2174/1570180812666150529205248

Price: $65

Abstract

Drugs comprising a heterocyclic system show widespread therapeutic impact such as antimicrobial, antidepressant, antihypertensive, and anticancer activity. We describe herein computational studies that support the promising biological activity of four new compounds (5, 6, 10 and 13). The wild-type and mutant phosphatidylinositol-4,5-bisphosphate 3-kinaseα (PI3Kα) proteins were used as models to explore the potential interaction of the designed molecules with this important kinase involved in the growth regulation of cancer cells. The results of our studies showed that the verified compounds ought to fit into the kinase domain of wild-type and mutant PI3Kαs. It is predicted that they interact with S774, K802, Y836, V851, S854, T856, Q859, and D933 that are known to be key binding residues for active inhibitors both in wild-type and mutant PI3Kαs. Docking scores infer the selectivity of compounds 5, 6 and 10 toward the mutant PI3Kα (H1047R), whereas compound 13 displayed a slightly higher affinity to the wild-type protein. The pharmacophore modeling of PI3Kα inhibitors showed that the explored compounds shared four out of five pharmacophoric points with such inhibitors. Thus, the recently developed four compounds might be recruited as lead structures for the design of new antitumor drugs targeting PI3Kα.

Keywords: Heterocyclic compounds, pharmacophore screening, molecular docking, PI3Kα.

Graphical Abstract


© 2024 Bentham Science Publishers | Privacy Policy