Amino Acids Sequences Analysis on Collagen

Staring from available information about amino acids properties and sequences on collagen type I chains, the aims of the study were to identify the principal property component and to analyze the similarities within and between collagens on five species. The principal component analysis applied on twentyfour amino acids properties revealed that the hydrophobic or hydrophilic character measured by Wealling et al. is more stable comparing with the other investigated properties. Similarity analysis identified similar and dissimilar within and between studied species from the viewpoint of amino acids sequences on collagen type I alpha 1 and 2 chains

A Structural Modelling Study on Marine Sediments Toxicity

Quantitative structure-activity relationship models were obtained by applying the Molecular Descriptor Family approach to eight ordnance compounds with different toxicity on five marine species (arbacia punctulata, dinophilus gyrociliatus, sciaenops ocellatus, opossum shrimp, and ulva fasciata). The selection of the best among molecular descriptors generated and calculated from the ordnance compounds structures lead to accurate monovariate models. The resulting models obtained for six endpoints proved to be accurate in estimation (the squared correlation coefficient varied from 0.8186 to 0.9997) and prediction (the correlation coefficient obtained in leave-one-out analysis varied from 0.7263 to 0.9984)

National Trends on Agricultural Crops Production: Cluster Analysis

Staring from descriptive data on crop production and cultivated area at national level during on fifteen years, the aim of this study is to reveal the trends on crops cultivation. The cluster analysis reveals linkages between crops classes as well as between different crops, which can be partly assigned to crops rotation. Time series analysis reveals dramatically reducing of production of some crops, such as flax, hemp, and sugar beet, and increasing of production, such at sunflower, and increasing of productivity, such at potatoes and field vegetables

Antiallergic Activity of Substituted Benzamides: Characterization, Estimation and Prediction

Antiallergic activity of twenty-three substituted N 4-methoxyphenyl benzamides was model by the use of an original methodology. After sketching out the compounds structure and creating the file with the observed activities, strictly based on compounds structure, the molecular descriptors family was generated and descriptors entered into a multiple linear regression analysis. The multi-varied model with four descriptors proved to render higher ability in estimation (squared correlation coefficient, r2 = 0.9986) as well as in prediction (cross-validation leave-one-out score, r2cv-loo = 0.9956) of antiallergic activity of compounds, obtained significantly greater correlation coefficient compared with the previously reported model (p < 0.01). Characterization of antiallergic activity of substituted N 4-methoxyphenyl benzamides by integration of complex structure information provides a stable and efficient multi-varied model with four descriptors. According with the multi-varied model with four descriptors the antiallergic activity of substituted N 4-methoxyphenyl benzamides is like to be of geometry nature, depending by the number of directly bonded hydrogen’s, and the atomic relative mass, being in relation with the partial charge of compounds

Time Series. Prediction

The Thesis is the dissertation for Licensed in Informatics Degree. The thesis threat the subject of time series from point of view of decomposing the knowledge from a time series into trend, ciclicity, and periodicity. All this components are modeled separately and a software application embeds all thee in a compact ensamble. The application is useful in prediction. A set of applications were taken into consideration and analyzed using this methodology. Applications are from meteorology, demographics, chemical and physical properties measurements. The software application was writen in Turbo Pascal and contain a statistical kernel, a graphical kernel and a user interface which allows specifying of the choused model. Trends implemented are linear, polynomial, hyperbolic, logarithmic and exponential. The periodicity module contains a autocorrelation procedure and a Fourier analysis procedure