A new computer program has been designed to build and analyze quantitative-structure activity relationship (QSAR) models through regression analysis. The user is provided with a range of regression and validation techniques. The emphasis of the program lies mainly in the validation of QSAR models in chemical applications. ARTE-QSAR produces an easy interpretable output from which the user can c...

Quantitative Structure Activity/Property Relationship (QSAR/QSPR) model development is a complex and time-consuming procedure involving data gathering and preparation. It plays an important role in the drug discovery pipeline, which still is mostly done manually. The current paper describes the automated workflow support of the OpenMolGRID system and provides a case study for the automation of ...

Self-organizing molecular field analysis (SOMFA), a simple three-dimensional quantitative structure activity relationship (3D-QSAR) based cheminformatics method was used in present case to study the correlation between the molecular properties and the PTP 1B inhibitory activities of a series of 1,2-naphthoquinone that acts as selective PTP 1B inhibitors. The statistical results, cross-validated...

Voice Activity Detection in movies is a non-trivial and challenging task. The different emotional states of the speakers, as well as the variety of soundscapes and noises contribute to the complexity of the task. In this paper, we propose a set of lightweight features that are specifically designed to perform under such conditions, while at the same time preventing confusions of singing voice w...

Molecular mechanics methods have been applied to study the interaction between a series of 20 deprotonated benzenesulfonamides and the enzyme carbonic anhydrase. The different contributions to the binding energy have been evaluated and correlated with experimental inhibition data and molecular orbital indices of the sulfonamides in their bound conformation. The results suggest that the discrimi...

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. ...

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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...

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...

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...