• JAIPRAKASH N. SANGSHETTI Rafiq Zakaria Campus, Y.B. Chavan College of Pharmacy, Aurangabad 431001 (MS) India
  • Firoz A. Kalam Khan Rafiq Zakaria Campus, Y.B. Chavan College of Pharmacy, Aurangabad 431001 (MS) India
  • Yasar Q. Qazi Rafiq Zakaria Campus, Y.B. Chavan College of Pharmacy, Aurangabad 431001 (MS) India
  • Manoj G. Damale MGM’s Institute of Biosciences and Technology, Aurangabad 431003 (MS) India.
  • Zahid Zaheer Rafiq Zakaria Campus, Y.B. Chavan College of Pharmacy, Aurangabad 431001 (MS) India


Polo-like kinase 1 inhibitors, 3D-QSAR, kNN-MFA model, Docking study, Pharmacophore modeling, ADMET properties


Objective: The polo-like kinase 1 (plk1) plays important roles in the regulation of mitotic progression, including mitotic entry, spindle formation, chromosome segregation and cytokinesis. Thus, plk1 is considered as a good target for chemotherapeutic intervention. The main objectives of this research were to in silico screen the 2-amino-pyrazolopyridine derivatives as plk1 inhibitors and develop pharmacophore for enhanced activity.

Methods: The three-dimensional quantitative structure–activity relationship (3D-QSAR), docking and pharmacophore identification studies on 2-amino-pyrazolopyridine derivatives as plk1 inhibitors have been carried out using V Life MDS 4.3 software. The stepwise 3D-QSAR kNN-MFA method was applied to derive QSAR model. Also, ADMET prediction was performed using FAF Drugs 2 which runs on Linux OS.

Results: The information rendered by 3D-QSAR models may lead to a better understanding and designing of novel plk1 inhibitor molecules. The molecular docking analysis was carried out to better understand the interactions between plk1 enzyme and inhibitors in this series. Hydrophobic and hydrogen bond interactions lead to identification of active binding sites. The results of pharmacophore studies showed that hydrogen bond accepters, aromatic and aliphatic centers are the important features for polo-like kinase 1 inhibitor activity. ADMET prediction of these compounds showed good drug like properties.

Conclusion: The combination of the 3D-QSAR, docking, pharmacophore modeling and ADMET prediction is an important tool in understanding the structural requirements for design of novel, potent and selective plk1 inhibitors and can be employed to design new  drug discovery and can be used for derivatives of 2-amino-pyrazolopyridines with specific plk1 inhibitory activity.


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How to Cite

SANGSHETTI, J. N., F. A. Kalam Khan, Y. Q. Qazi, M. G. Damale, and Z. Zaheer. “3D-QSAR, DOCKING STUDY, PHARMACOPHORE MODELING AND ADMET PREDICTION OF 2-AMINO-PYRAZOLOPYRIDINE DERIVATIVES AS POLO-LIKE KINASE 1 INHIBITORS”. International Journal of Pharmacy and Pharmaceutical Sciences, vol. 6, no. 8, Aug. 2014, pp. 217-23, https://innovareacademics.in/journals/index.php/ijpps/article/view/1639.



Original Article(s)