Quantitative Structure Activity Relationship using MLR Method for Nitrobenzenes Toxicity to tetrahymena pyriformis

نویسندگان

  • Renu Kumari
  • Rajneesh Kumar
  • Sushil Kumar
  • Madhu Gupta
چکیده

The toxicity data of 42 nitroaromatic compounds related to 50% growth inhibitory concentration (log IGC50) were used to develop Quantitative structure toxicity relationship to tetrahymena pyriformis.The multiple linear regression method was applied to select the descriptors.The six parametric model were found to be the best which gives a variance of more than 92% (R2=0.9248). Our results have shown that six parameteric model containing second order connectivity, a physicochemical parameter, distance based Balaban and Balaban type of indices along with indicator parameter play a dominating role in modeling toxicity (log IGC 50) . The predictive powers of the models were also discussed by using the method of cross-validation. Our results are comparatively better than the result obtained by E.Estrada and and E.Uriarte.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Quantitative structure-activity relationship study on toxicity to tetrahymena pyriformis of aniline derivatives

Anilines and their derivatives are widely used industrial chemicals that consequently have a high potential for environmental pollution because of their toxicity. So, it is necessary to make an assessment of their environment risk. Of course, their toxicity can be measured using experimental methods. The toxicity of these chemicals has been investigated extensively using fish of tetrahymena pyr...

متن کامل

Prediction of toxicity of aliphatic carboxylic acids using adaptive neuro-fuzzy inference system

Toxicity of 38 aliphatic carboxylic acids was studied using non-linear quantitative structure-toxicityrelationship (QSTR) models. The adaptive neuro-fuzzy inference system (ANFIS) was used to construct thenonlinear QSTR models in all stages of study. Two ANFIS models were developed based upon differentsubsets of descriptors. The first one used log ow K and LUMO E as inputs and had good predicti...

متن کامل

Prediction of the aquatic toxicity of aromatic compounds to tetrahymena pyriformis through support vector regression

Toxicity evaluation is an extremely important process during drug development. It is usually initiated by experiments on animals, which is time-consuming and costly. To speed up such a process, a quantitative structure-activity relationship (QSAR) study was performed to develop a computational model for correlating the structures of 581 aromatic compounds with their aquatic toxicity to tetrahym...

متن کامل

Quantitative structure-activity relationship (QSAR) study of CCR2b receptor inhibitors using SW-MLR and GA-MLR approaches

In this paper, the quantitative structure activity-relationship (QSAR) of the CCR2b receptor inhibitors was scrutinized. Firstly, the molecular descriptors were calculated using the Dragon package. Then, the stepwise multiple linear regressions (SW-MLR) and the genetic algorithm multiple linear regressions (GA-MLR) variable selection methods were subsequently employed to select and implement th...

متن کامل

Quantitative Structure-Activity Relationship Studies of 4-Imidazolyl- 1,4-dihydropyridines as Calcium Channel Blockers

Objective(s): The structure- activity relationship of a series of 36 molecules, showing L-type calcium channel blocking was studied using a QSAR (quantitative structure–activity relationship) method. Materials and Methods: Structures were optimized by the semi-empirical AM1 quantum-chemical method which was also used to find structure-calcium channel blocking activity trends. Several types of ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012