Stojanoski, Kiro
Preferred name
Stojanoski, Kiro
Official Name
Stojanoski, Kiro
Main Affiliation
Email
kiro@pmf.ukim.mk
5 results
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Item type:Publication, Optimization of supervised self-organizing maps with genetic algorithms for classification electrophoretic profiles(Society of Chemists and Technologists of Macedonia, 2014-05-02); <jats:p><p>Standard electrophoresis methods were used in the classification of analyzed proteins in cerebrospinal fluid from patients with multiple sclerosis. Disc electrophoresis was carried out for detection of oligoclonal IgG bands in cerebrospinal fluid on polyacrylamide gel, mainly with multiple sclerosis and other central nervous system dysfunctions. ImageMaster 1D Elite and GelPro specialized software packages were used for fast accurate image and gel analysis. The classification model was based on supervised self-organizing maps. In order to perform the modeling in automated manner genetic algorithms were used. Using this approach and a data set composed of 69 samples we were able to develop models based on supervised self-organizing maps which were able to correctly classify 83 % of the samples in the data set used for external validation.</p></jats:p> - Some of the metrics are blocked by yourconsent settings
Item type:Publication, - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Effects of data transformation on multivariate analyses in intracerebral hemorrhage(Macedonian Pharmaceutical Association, 2016); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Peripheral glutamate and TNF-α levels in patients with intracerebral hemorrhage: Their prognostic values and interactions toward the formation of the edemal volume(VM Media SP. zo.o VM Group SK, 2018-03); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, On the differential hydration of various forms of glycine in diluted aqueous solutions: a Monte Carlo study(Society of Chemists and Technologists of Macedonia, 2012-12-20); Pejov, Ljupco<jats:p>Rigid-body Monte Carlo simulations were carried out to study the differential hydration of zwitterionic and neutral forms of glycine in water. To account for the solute polarization by the rather polar liquid environment, initial geometries were chosen as minima on the MP2/aug-cc-pVTZ potential energy surfaces of neutral and zwitterionic glycine continuously solvated by water, implementing the polarizable continuum model (PCM) within the integral equation formalism (IEFPCM). The dynamically changing hydrogen bonding network between the solute and solvent molecules was analyzed imposing distance, energy and angular distribution-based criteria. It was found that, on average, the zwitterionic form of glycine acts as an acceptor of 4.53 hydrogen bonds, while it plays the role of a proton donor in (on average) 2.73 hydrogen bonds with the solvent water molecules. In particular, we have found out that 2.73 solvent water molecules are involved in hydrogen bonding interaction with the ammonium group, acting as proton-acceptors. This is in excellent agreement with the recent experimental neutron diffraction studies, which have indicated that 3.0 water molecules reside in the vicinity of the NH3+ group of aqueous zwitterionic glycine. Neutral form of aqueous glycine, on the other hand, on average donates protons in 1.63 hydrogen bonds with the solvent water molecules, while at the same time it accepts 2.53 hydrogen bonds from the solvent molecules. The greater charge polarization in the zwitterionic form thus makes it much more exposed to hydrogen bonding interaction in polar medium such as water, which is certainly the main reason of the larger stability of this form of glycine in condensed media.</jats:p>