Abstract
The present study envisages a fast and reliable 3D QSAR approach utilising pharmacophore mapping for the identification of specific inhibitors for the CDK2 inhibitors belonging to the kinase class. The model generated resulted in a statistically significant 3D QSAR equation with regression coefficient value of ( r2 = 0.8131) and cross validation coefficient value of (q2 =0.8991). The generated QSAR equation was validated by leave one out method. The present model could be used in the design of novel and specific inhibitors of CDK2.
Original language | English |
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Pages (from-to) | 1498-1503 |
Number of pages | 6 |
Journal | Latin American Journal of Pharmacy |
Volume | 37 |
Issue number | 8 |
Publication status | Published - 01-01-2018 |
All Science Journal Classification (ASJC) codes
- Pharmaceutical Science
- Drug Discovery