نتایج جستجو برای: quantitative structureretention relationship

تعداد نتایج: 845520  

Journal: :Drug discovery today 2010
Pier G De Benedetti Francesca Fanelli

Drugs are adaptive molecules. They realize this peculiarity by generating different ensembles of prototropic forms and conformers that depend on the environment. Among the impressive amount of available computational drug discovery technologies, quantitative structure-activity relationship approaches that rely on computational quantum chemistry descriptors are the most appropriate to model adap...

Journal: :Journal of medicinal chemistry 2001
X Huang T Liu J Gu X Luo R Ji Y Cao H Xue J T Wong B L Wong G Pei H Jiang K Chen

With flavone as a structural template, three-dimensional quantitative structure-activity relationship (3D-QSAR) studies and ab initio calculations were performed on a series of flavonoids. A reasonable pharmacophore model was built through CoMFA, CoMSIA, and HQSAR analyses and electrostatic potential calculations. A plausible binding mode for flavonoids with GABA(A) receptors was rationalized. ...

2003
R. BENIGNI

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Activity vs Potency: Different QSAR Models . . . . . . . . . . . . . ....

Journal: :Combinatorial chemistry & high throughput screening 2013
Sorana D Bolboacă Lorentz Jäntschi

In the spirit of reporting valid and reliable Quantitative Structure-Activity Relationship (QSAR) models, the aim of our research was to assess how the leverage (analysis with Hat matrix, h(i)) and the influential (analysis with Cook's distance, D(i)) of QSAR models may reflect the models reliability and their characteristics. The datasets included in this research were collected from previousl...

2004
Beatriz Sousa Santos Jean-Louis Dillenseger Carlos Ferreira

The visual analysis of Stereoeletroencephalographic SEEG signals in their anatomical context is aimed at understanding the spatio-temporal dynamics of epileptic processes. The magnitude of these signals may be encoded by graphical glyphs, having a direct impact on the perception of the values. This problem has motivated an evaluation of the quantitative visualization of these signals, specifica...

Journal: :Journal of chemical information and modeling 2010
Sylvain Lozano Guillaume Poezevara Marie-Pierre Halm-Lemeille Elodie Lescot-Fontaine Alban Lepailleur Ryan Bissell-Siders Bruno Crémilleux Sylvain Rault Bertrand Cuissart Ronan Bureau

Starting from a random set of structures taken from the European Chemical Bureau (ECB) Web site, an estimation of the classification by acute category in ecotoxicology was carried out. This estimation was based on two approaches. One approach consists in starting with global quantitative structure-activity relationship (QSAR) equations, analyzing the results and defining an interpretation in te...

Journal: :Journal of Chemical Information and Computer Sciences 1999
Svetlana Markovic Ivan Gutman

The spectral moments of the edge adjacency matrix recently have been successfully employed in quantitative structure-property relationship (QSPR) and quantitative structure-activity relationship (QSAR) studies of alkanes, alkyl halides, benzyl alcohols, and cycloalkanes.1-3 In this work we examined spectral moments of the edge adjacency matrix of benzenoid hydrocarbons. We designed combinatoria...

2012
Faizan Sahigara

QSARs establish a quantitative relationship between chemical structures and their properties [1]. In theory, QSAR models can be used to predict the properties of chemical structures, provided their structural information is available. In the recent years, there had been a growing awareness about QSARs and their applications. This is quite evident from their use for regulatory purposes. A new Eu...

Journal: :Alternatives to laboratory animals : ATLA 2002
Mark T D Cronin

The current status of quantitative structure-activity relationships (QSARs) in predicting toxicity is assessed. Widespread use of these methods to predict toxicity from chemical structure is possible, both by industry to develop new compounds, and also by regulatory agencies. The current use of QSARs is restricted by the lack of suitable toxicity data available for modelling, the suitability of...

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