objective: the aim of this study was to estimate the cheminformatics and qualitative structure-activity relationship (qsar) of cinnamaldehyde and eugenol. the effects of cinnamaldehyde and eugenol on the viability, doubling time and adipogenic or osteogenic differentiations of human adipose-derived mesenchymal stem cells (hascs) were also investigated.  materials and methods: qsar and toxicity ...

binary logistic regression (blr) has been developed as non-linear models to establish quantitative structure- activity relationships (qsar) between structural descriptors and biochemical activity of carbonic anhydrase inhibitors. using a training set consisted of 21 compounds with known ki values, the model was trained and tested to solve two-class problems as active or inactive on the basis of...

the quantitative structure–activity relationship of a series of novel thiazoline derivatives with anticancer activity has been studied by using the density functional theory by b3lyp/ 6-31g. descriptors of quantum mechanics of 21 thiazoline derivatives with known activity were obtained. multiple linear regressions were employed to model the relationships between molecular descriptors and biolog...

in this work quantitative structure activity relationship (qsar) methodology was applied for modeling and prediction of cellular response to polymers that have been designed for tissue engineering. after calculation and screening of molecular descriptors, linear and nonlinear models were developed by using multiple linear regressions (mlr) and artificial neural network (ann) methods. the root m...

Background Quantitative Structure Activity Relationship (QSAR) is a difficult computational chemistry approach for beginner scientists and a time consuming one for even more experienced researchers. Method and Materials Ezqsar which is introduced here addresses both the issues. It considers important steps to have a reliable QSAR model. Besides calculation of descriptors using CDK library, hi...

A quantitative structure property relationship study of the flash point of a diverse set of 271 compounds provided a general three-parameter QSPR model (R(2) = 0.9020, R(2)(cv) = 0.8985, s = 16.1). Use of the experimental boiling point as a descriptor gives a three-descriptor equation with R(2) = 0.9529. Use of the boiling point predicted by a four-parameter reported relationship gives a three-...

A novel QSPR development technique is proposed with the aim to combine the advantages of the two methods most frequently applied. A quantitative structure-property relationship (QSPR) is developed using this technique to relate the molecular structures of 645 diverse organic compounds to their vapor pressures at 25 C expressed as logVP. The compounds are encoded with topological, electronic, ge...

Quantitative structure-property relationships (QSPR) of critical temperatures with small numbers of physically significant molecular descriptors are developed using the CODESSA (comprehensive descriptors for structural and statistical analysis) technique. A highly significant one-parameter model correlates to the critical temperatures of 76 hydrocarbons at R2 ) 0.953. A successful three-paramet...