Toxicity caused by para-substituted phenols on Tetrahymena pyriformis: The structure-activity relationships
نویسندگان
چکیده
The toxicity of thirty para-substituted phenols on Tetrahymena pyriformis was modelled using an original methodology that uses the complex structural information of the compounds. Two models were built. The methodology allows atomic properties to be assigned to toxicity based on the selection of pairs of descriptors from the entire family, which is called Molecular Descriptors Family (MDF). One model has two independent structural descriptors and the other has four. The model with four descriptors proved to have high estimated and predictive abilities (over 97% of toxicity could be explained by structural information). The partial charge distribution by bonds (molecular topology) and space (molecular geometry) interaction proved to be related with the toxicity of para-substituted phenols on Tetrahymena pyriformis. The predictive ability of the model was tested by using the following methods: the cross-validation leave-one-out and the training versus test experiments. The comparisons among the models were performed using the correlated correlations method. The embedding of
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 کاملA NEW BIOLOGICAL SCREENING SYSTEM FOR LOCAL ANAESTHETICS BY INHIBITION MOBILITY OF TETRAHYMENA PYRIFORMIS
An alternative in vitro approach to drug screening has been the use of human cell cultures for antiviral agents and microbial cell cultures for the assessment of the carcinogenic potential of selected compounds. A number of protozoan species have been also used as drug screens for anti-protozoal agents. The ciliated protozoan Tetrahymena pyriformis species has been widely utilised as a dru...
متن کاملPrediction 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 کاملPrediction 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 کاملPrediction of modes of toxic action and toxicity of phenols with feature selection algorithms coupled with fuzzy ARTMAP
Descriptors suitable for the discrimination of four modes of toxic action (MOA) of 221 phenols with respect to the ciliate Tetrahymena pyriformis were selected by using SOM-dissimilarity measures and other well-known feature selection techniques. The performance of these methods and of ensembles of them to predict MOA classes and the toxicity log[1/IGC50] (mmol/L) for each action mechanism when...
متن کامل