Abstract
Serine/threonine-protein kinase N2 (PKN2) plays an important role in cell cycle progression, cell migration, cell adhesion and transcription activation signaling processes. In cancer, however, it plays important roles in tumor cell migration, invasion and apoptosis. PKN2 inhibitors have been shown to be promising in treating cancer. This prompted us to model this interesting target using our QSAR-guided selection of docking-based pharmacophores approach where numerous pharmacophores are extracted from docked ligand poses and allowed to compete within the context of QSAR. The optimal pharmacophore was sterically-refined, validated by receiver operating characteristic (ROC) curve analysis and used as virtual search query to screen the National Cancer Institute (NCI) database for new promising anti-PKN2 leads of novel chemotypes. Three low micromolar hits were identified with IC50 values ranging between 9.9 and 18.6 µM. Pharmacological assays showed promising cytotoxic properties for active hits in MTT and wound healing assays against MCF-7 and PANC-1 cancer cells.
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Abbreviations
- PKN2:
-
Protein kinase N2
- ATP:
-
Adenosine triphosphate
- QSAR:
-
Quantitative structure activity relationship
- ROC:
-
Receiver operating characteristic
- IC50 :
-
Inhibitor concentration that causes 50% enzyme inhibition
- MTT:
-
4,5-Dimethylthiazol-2-yl-2,5-diphenyltetrazolium bromide
- GA/MLR:
-
Genetic algorithm/Multiple linear regression
- AUC:
-
Area under the curve
- Hbic:
-
Hydrophobic
- HBA:
-
Hydrogen bond acceptor
- HBD:
-
Hydrogen bond donor
- PosIon:
-
Positive ionizable feature
- SNC:
-
Sensitivity
- SPC:
-
Specificity
- ACC:
-
Accuracy
- MCF7:
-
Breast cancer cell line
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Acknowledgements
The authors thank the Deanships of Scientific Research at the Zarqa University and The University of Jordan for funding this project. We are greatly thankful for National Cancer Institute for the free NCI compounds gift. We appreciate the efforts of Ms. Haneen Sallam and Ms. Walaa Wahdan for the work in the tissue culture laboratory, help in media preparation, culturing the cancerous cells and sample preparation.
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Zarqa University,6-2020,Mahmoud A Al-Sha'er
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Al-Sha’er, M.A., Basheer, H.A. & Taha, M.O. Discovery of new PKN2 inhibitory chemotypes via QSAR-guided selection of docking-based pharmacophores. Mol Divers 27, 443–462 (2023). https://doi.org/10.1007/s11030-022-10434-4
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DOI: https://doi.org/10.1007/s11030-022-10434-4