نتایج جستجو برای: quantum molecular descriptors
تعداد نتایج: 929130 فیلتر نتایج به سال:
Building on the ideas of a previous paper [part 1, J. Phys. Chem. A 1999, 103, 2883] we present a new molecular similarity method based on the topology of the electron density. This method is directly applicable to QSARs and is called quantum topological molecular similarity (QTMS). It has been tested for five sets of carboxylic systems including para- and meta-benzoic acid, para-phenylacetic a...
A comprehensive review of quantitative structure-activity relationships (QSAR) allowing the prediction of the fate of organic compounds in the environment from their molecular properties was done. The considered processes were water dissolution, dissociation, volatilization, retention on soils and sediments (mainly adsorption and desorption), degradation (biotic and abiotic), and absorption by ...
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...
A quantitative structure activity relationship analysis was applied to a library of 51 benzylacetamide derivatives with anticonvulsant activity. The molecular structures of 51 compounds were optimized with the Semiempirical Method PM6 (Parametric Method-6) included in the MOPAC2009 software. The optimized structures of all the examined compounds were represented by 1497 DRAGON-type descriptors....
Today, one of the main aims in the pharmaceutical companies is seek new methodologies to understand the biological activity in molecules from the computational point of view. In this sense, understand the traditional tools (3D QSAR) such as the Comparative Molecular Similarity Analysis (CoMSIA) within the quantum chemistry framework, can be relevant. In this context, the quantification of steri...
Nineteen physicochemical properties of natural amino acids are correlated by combination of a large number of molecular descriptors considering simple connectivity of atoms, their topological orientations in two dimensions and quantum-chemical molecular descriptors describing interactions among them. All the molecular descriptors are amalgamated to generate the principal components, which are d...
Quantitative structure-property relationship (QSPR) models are developed to predict the logarithm of infinite dilution activity coefficient of hydrocarbons, oxygen containing organic compounds and halogenated hydrocarbons in water at 298.15 K. The description of the molecular structure in terms of quantum-connectivity descriptors allows to obtain more simple QSPR models because of the quantum-c...
This work describes QSAR and SAR studies on the reduction of 27 aromatic nitro compounds by xanthine oxidase using both distance-based topological indices and quantum molecular descriptors along with indicator parameters. The application of a multiple linear regression analysis indicated that a combination of distance-based topological indices with the ad hoc molecular descriptors and the indic...
This study presents some mathematical methods for estimating the critical properties of 40 different types of alkanes and their derivatives including critical temperature, critical pressure and critical volume. This algorithm used QSPR modeling based on graph theory, several structural indices, and geometric descriptors of chemical compounds. Multiple linear regression was used to estimate the ...
Stabilities and quantum molecular descriptors of cyclophoshphamide (an anticancer drug)-functionalized (8,0) zigzag and (4,4) armchair carbon nanotubes (CNTs) complexes in water were studied using density functional theory (DFT) calculations. Two attachments namely the sidewall- and tip-attachments are considered for the model constructions. Calculations of the total electronic energy (Et) and ...
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