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Published on:August 2019
Indian Journal of Pharmaceutical Education and Research, 2019; 53(3s):s299-s312
Original Article | doi:10.5530/ijper.53.3s.100

Fingerprint Based Two-dimensional QSAR Studies on Pyrazolo Quinazolines as Cdk2 Inhibitors: A Rational Approach for the Design of Novel Anticancer Agents


Authors and affiliation (s):

Aravinda Pai, Jayashree B.S*

Department of Pharmaceutical Chemistry, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, INDIA.

Abstract:

Aim/Background: Quantitative structure activity relationship studies are important ligandbased methods used in drug discovery process. The development of Quantum mechanics and its application in the study of smaller and macromolecules have accelerated their applications in the field of drug discovery. Extensive developments in QSAR studies (either 2D or 3D) could be the result of progressive applications of Quantum mechanics. Latest drug discovery modules depends solely on the advanced computational methods such as 3D QSAR and molecular docking approach. It is believed that a few drug discovery groups from industries still depend on the 2-dimensional QSAR techniques as a part of the lead optimization. Our study aims on learning the application of five important binary fingerprinting techniques based on the quantum mechanics involving 2D QSAR studies for designing novel pyrazolo quinazolines as selective inhibitors of CDK2/CyclinA. Materials and Methods: A dataset of 47 analogues of pyrazolo quinazolines were selected with their inhibitory activity on CDK2/Cyclin A. The derivatives were divided into training and test sets. The Kernel based partial regression was run using five important binary fingerprints and statistical significance of each fingerprint was analysed. Results: Out of the five fingerprints selected, the fingerprint linear arrived at the optimized 2D QSAR model through the kernel-based regression analysis. The final developed model expressed the importance of the presence of Carboxamide groups on the pyrazole ring that could positively contributes to the inhibitory activity. Conclusion: The developed model could be of use to design better analogues with enhanced selectivity and specificity as inhibitors of CDK2/Cyclin A that would provide a clear insight amongst the researchers for the development of novel and potent clinically useful anticancer agents.

Key words: 2D QSAR, Binary fingerprints, Features, Similarity, Kernels, Statistical.

 

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IJPER - An Official Publication of Association of Pharmaceutical Teachers of India is pleased to announce continued growth in the 2019 Release of Journal Citation Reports (source: 2018 Web of Science Data).

 

Impact Factor® as reported in the 2018 Journal Citation Reports® (Clarivate Analytics, 2019): 0.425

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The Official Journal of Association of Pharmaceutical Teachers of India (APTI)
(Registered under Registration of Societies Act XXI of 1860 No. 122 of 1966-1967, Lucknow)

Indian Journal of Pharmaceutical Education and Research (IJPER) [ISSN-0019-5464] is the official journal of Association of Pharmaceutical Teachers of India (APTI) and is being published since 1967.

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IJPER uses reference linking service using Digital Object Identifiers (DOI) by Crossref. Articles from the year 2013 are being assigned DOIs for its permanent URLs