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Computational Approach for the Design of Flavone based CDK2/CyclinA Inhibitors:A Simulation Study Employing Pharmacophore based 3D QSAR


Affiliations
1 Department of Pharmaceutical Chemistry, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal-576104, Karnataka, India
     

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The present work aimed at designing selective and potent inhibitors of CDK2/CyclinA as anticancer agents. A five point pharmacophore (AAADR) model was developed for the reported molecules from literature, the pharmacophore model was used to build predictive 3D QSAR equation. The selected 3D QSAR models revealed the importance of hydrogen bond acceptors, hydrogen bond donors and aromatic rings for selectively towards the target enzyme. The developed models were statistically robust (CDK2/Cyclin A, Q2- 0.6380, R2 value of 0.9857, SD-0.1667, F-320.9 and Pearson coefficient value of 0.7916). The built model could be useful for the design and development of novel and selective inhibitors of CDK2/Cyclin A.

Keywords

Flavopiridol, CDK, QSAR, Pharmacophore, GLIDE, Docking.
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  • Computational Approach for the Design of Flavone based CDK2/CyclinA Inhibitors:A Simulation Study Employing Pharmacophore based 3D QSAR

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Authors

Aravinda Pai
Department of Pharmaceutical Chemistry, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal-576104, Karnataka, India
B. S. Jayashree
Department of Pharmaceutical Chemistry, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal-576104, Karnataka, India

Abstract


The present work aimed at designing selective and potent inhibitors of CDK2/CyclinA as anticancer agents. A five point pharmacophore (AAADR) model was developed for the reported molecules from literature, the pharmacophore model was used to build predictive 3D QSAR equation. The selected 3D QSAR models revealed the importance of hydrogen bond acceptors, hydrogen bond donors and aromatic rings for selectively towards the target enzyme. The developed models were statistically robust (CDK2/Cyclin A, Q2- 0.6380, R2 value of 0.9857, SD-0.1667, F-320.9 and Pearson coefficient value of 0.7916). The built model could be useful for the design and development of novel and selective inhibitors of CDK2/Cyclin A.

Keywords


Flavopiridol, CDK, QSAR, Pharmacophore, GLIDE, Docking.

References