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Artificial Neural Network Approach to Modelling of Metal Contents in Different Types of Chocolates
(Slovensko Kemijsko Drustvo, Ljubljana, 2015)
The relationships between the contents of various metals (Cu, Ni, Pb and Al) in different types of chocolates were studied using chemometric approach. Chemometric analysis was based on the application of artificial neural ...
Electrostatic and Topological Features as Predictors of Antifungal Potential of Oxazolo Derivatives as Promising Compounds in Treatment of Infections Caused by Candida albicans
(Slovensko Kemijsko Drustvo, Ljubljana, 2018)
The results presented in this study include the prediction of the antifungal activity of 24 oxazolo derivatives based on their topological and electrostatic molecular descriptors, derived from the 2D molecular structures. ...