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

  • R. Balajee 1 Asst. Professor, Department of Bioinformatics, FSH, SRM University, Kattankulathur
  • M. S. DHANARAJAN 2 Principal Jaya college of Arts and Science, Thiruninrvur, Tamil Nadu, India



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.
Keywords: Quantitative structure-activity relationship, Pharmacophore Alignment and Scoring Engine, Dipeptidyl peptidase 4, Anti-hyperglycemic
targets, Docking studies, Three dimensional quantitative structure-activity relationship.


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How to Cite
Balajee, R., and M. S. DHANARAJAN. “3D QSAR Studies of Synthetic Compounds As Potential Inhibitors for Anti - Hyperglycemic Targets.”. Asian Journal of Pharmaceutical and Clinical Research, Vol. 8, no. 1, Jan. 2015, pp. 362-4, https://innovareacademics.in/journals/index.php/ajpcr/article/view/675.
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