3D QSAR studies of synthetic compounds as potential inhibitors for Anti - hyperglycemic targets.

摘要

Background: The identification of potential compounds for an anti-hyperglycemic makes real challenges in the pharmaceutical industry. Library of compounds have introduced so far, but identifying the specific target, which makes more sensation. Objective: In the present study, the quantitative structure-activity relationship (QSAR) studies have been analyzed from the compounds were retrieved from online and literature survey. Methods: The compound, 6, 7, 8, 9-tetrahydro-2h-11-oxa-2, 4, 10-triaza-benzo [b] fluoren-1-one has taken as a potential target to perform QSAR study based on the principle of the molecular docking analysis and pharmacophoric features. QSAR models were generated a target from the first 10 potential targets in the training set. Results: The predictive ability of both models was determined using a randomly chosen test set gave predictive correlation coefficients of r2=0.9. Conclusion: This analysis shows the ADNRR shows very close to the interactions recorded in the active site of the ligand bound complex.