شماره ركورد كنفرانس :
3976
عنوان مقاله :
DFT-Based QSAR Study of Toxicity of 2-(2,4-dichlorophenoxy)propanoic acid and 2-(3,4-dichlorophenoxy)propanoic acid Compounds
پديدآورندگان :
Shirani Il Beigi Hossein shiranihossein@gmail.com Nazhand Higher Education Institute, Urmia , Ghanbarpour Peyvand Islamic Azad University, Urmia , Shakibi Ahmadreza Nazhand Higher Education Institute, Urmia
كليدواژه :
QSAR , DFT , 2 , (2 , 4 , dichlorophenoxy)propanoic acid , 2 , (3 , 4 , dichlorophenoxy)propanoic acid
عنوان كنفرانس :
ششمين سمينار ملي دوسالانه كمومتريكس ايران
چكيده فارسي :
In modern drug discovery process, ADME/Tox (absorption, distribution, metabolism,
excretion, along with toxicity) properties should be determined as early as possible in
the test cascade to allow a timely assessment of their property profiles [1]. Among
ADME/Tox properties, drug metabolism is a key determinant of several important drug
processes in vivo, such as metabolic stability, drug–drug interactions and drug toxicity
[2]. Many physiological activities of molecules can be related to their composition and
structures. Molecular descriptors, which are the numerical representation of the
molecular structures, are used to perform Quantitative structure activity relationships
(QSAR) analysis. Therefore, the DFT method is expected to lead to statistically more
accurate QSAR model by comparing the semi-empirical methods. Aim of the present
study is QSAR study to explore the correlations between activity and calculated
molecular descriptors of 2-(2,4-dichlorophenoxy)propanoic acid and
2-(3,4-dichlorophenoxy)propanoic acid compounds. The ground state geometries of
these compounds have been optimized by using density functional theory (DFT) at
B3LYP/6-311G level of theory. We evaluated the overall predictive capacity of the
models for the training set compounds and model derived predictions for the test set
compounds. The computed properties of investigated compounds have been compared
as well as available experimental data. The results also suggest that number and position
of the substituents plays a dominant role in describing the toxicity. However, electronic
factors are also important for the predictability of the models. The models built in the
present study can be used for the prediction of toxicity of untested aldehydes against .
The model based on factors scores of descriptors of different bonds was able to identify
the important fragment responsible for the mediation of toxicity of
2-(2,4-dichlorophenoxy)propanoic acid and 2-(3,4-dichlorophenoxy)propanoic acid as
corroborated by their established mechanism of toxicity.
2-(2,4-dichlorophenoxy)propanoic acid 2-(3,4-dichlorophenoxy)propanoic acid
[Scheme]