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Topological Modeling of log D7.4 of Hydroxylated Aromatic Aldehydes

Sunita Patel Hardia1

Section:Research Paper, Product Type: Isroset-Conference
Vol.2 , Issue.1 , pp.1-4, Dec-2015


Online published on Jan 05, 2015


Copyright © Sunita Patel Hardia . 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: Sunita Patel Hardia, “Topological Modeling of log D7.4 of Hydroxylated Aromatic Aldehydes,” International Journal of Scientific Research in Chemical Sciences, Vol.2, Issue.1, pp.1-4, 2015.

MLA Style Citation: Sunita Patel Hardia "Topological Modeling of log D7.4 of Hydroxylated Aromatic Aldehydes." International Journal of Scientific Research in Chemical Sciences 2.1 (2015): 1-4.

APA Style Citation: Sunita Patel Hardia, (2015). Topological Modeling of log D7.4 of Hydroxylated Aromatic Aldehydes. International Journal of Scientific Research in Chemical Sciences, 2(1), 1-4.

BibTex Style Citation:
@article{Hardia_2015,
author = {Sunita Patel Hardia},
title = {Topological Modeling of log D7.4 of Hydroxylated Aromatic Aldehydes},
journal = {International Journal of Scientific Research in Chemical Sciences},
issue_date = {12 2015},
volume = {2},
Issue = {1},
month = {12},
year = {2015},
issn = {2347-2693},
pages = {1-4},
url = {https://www.isroset.org/journal/IJSRCS/full_paper_view.php?paper_id=235},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRCS/full_paper_view.php?paper_id=235
TI - Topological Modeling of log D7.4 of Hydroxylated Aromatic Aldehydes
T2 - International Journal of Scientific Research in Chemical Sciences
AU - Sunita Patel Hardia
PY - 2015
DA - 2016/01/05
PB - IJCSE, Indore, INDIA
SP - 1-4
IS - 1
VL - 2
SN - 2347-2693
ER -

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Abstract :
The quantitative Structure-Aciivity Relationship (QSAR) was performed for a set of 25 hydroxylated aromatic aldehydes for modeling logD7.4 , responsible for exhibiting toxicity ,using topological indices . The purpose of the study is, therefore, to find out topological dependence of logD7.4 vis-à-vis toxicity. Multiple regression analysis (MLR)was used for obtaining statistically significant models. The results show that statistically significant models are obtained in multi-parametric regression model in that Ss,Xu and MSD are found useful in modeling of logD7.4 .

Key-Words / Index Term :
Toxicity , logD7.4 , topological indices, QSAR, regression analysis.

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