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A. K. Parmar1 , M. R. Patle2
Section:Research Paper, Product Type: Isroset-Journal
Vol.6 ,
Issue.2 , pp.133-143, Apr-2019
CrossRef-DOI: https://doi.org/10.26438/ijsrbs/v6i2.133143
Online published on Apr 30, 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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IEEE Style Citation: A. K. Parmar, M. R. Patle, “Regression Analysis and Docking Study of Pyrimidine Based Compounds as anti-Tuberculosis Therapeutic Agents,” International Journal of Scientific Research in Biological Sciences, Vol.6, Issue.2, pp.133-143, 2019.
MLA Style Citation: A. K. Parmar, M. R. Patle "Regression Analysis and Docking Study of Pyrimidine Based Compounds as anti-Tuberculosis Therapeutic Agents." International Journal of Scientific Research in Biological Sciences 6.2 (2019): 133-143.
APA Style Citation: A. K. Parmar, M. R. Patle, (2019). Regression Analysis and Docking Study of Pyrimidine Based Compounds as anti-Tuberculosis Therapeutic Agents. International Journal of Scientific Research in Biological Sciences, 6(2), 133-143.
BibTex Style Citation:
@article{Parmar_2019,
author = {A. K. Parmar, M. R. Patle},
title = {Regression Analysis and Docking Study of Pyrimidine Based Compounds as anti-Tuberculosis Therapeutic Agents},
journal = {International Journal of Scientific Research in Biological Sciences},
issue_date = {4 2019},
volume = {6},
Issue = {2},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {133-143},
url = {https://www.isroset.org/journal/IJSRBS/full_paper_view.php?paper_id=1287},
doi = {https://doi.org/10.26438/ijcse/v6i2.133143}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i2.133143}
UR - https://www.isroset.org/journal/IJSRBS/full_paper_view.php?paper_id=1287
TI - Regression Analysis and Docking Study of Pyrimidine Based Compounds as anti-Tuberculosis Therapeutic Agents
T2 - International Journal of Scientific Research in Biological Sciences
AU - A. K. Parmar, M. R. Patle
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 133-143
IS - 2
VL - 6
SN - 2347-2693
ER -
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 forty two substituted pyrimidine 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 pyrimidine 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 pyrimidine 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, descriptor, pyrimidine
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