Regression Analysis and Docking Study of Hydroxyl Quinoline Based Compounds as Anti-Tuberculosis Therapeutic Agents

A. K. Parmar¹ , M. R. Patle²

Section:Research Paper, Product Type: Isroset-Journal
Vol.6 , Issue.1 , pp.177-186, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijsrbs/v6i1.177186

Online published on Feb 28, 2019

Copyright © A. K. Parmar, M. R. Patle . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
In the drug-design process, structure activity relationship is an important tool for estimation of biological activity of the unknown compounds. In this process, the objective is development of a relationship between structural features of molecules and the property of interest i. e. biological activity. On the basis of this relationship, the biological activity can be predicted for new candidate structures. Initially, the thirty nine substituted hydroxyl quinoline molecules with known biological activities were considered as known set for regression analysis model building purpose. The properties module from Datawarrior used to calculate descriptors. Structure activity model indicates that these descriptors have significant relationships with observed bioactivity. We have observed a high relationship between experimental and predicted activity values, indicating the validation and the excellent quality of the derived model. In the present study, the new substituted hydroxyl quinoline molecules are designed, optimized and their descriptors were calculated using Datawarrior modules. Then by using the Regression analysis model, their biological activities are studied as well as inhibition studies for the 1QPQ by molecular docking method are also carried out. Thus on the basis of regression analysis study and docking study of substituted hydroxyl quinoline derivatives, we can conclude that these compounds on further studies may prove to be therapeutic agent against tuberculosis.

Key-Words / Index Term :
Structure activity, biological activity, docking, tuberculosis, descriptors

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