Assessment of the pharmacokinetic profile of novel s-triazine derivatives and their potential use in treatment of Alzheimer's disease

Blood Brain Barrier and Alzheimer's Disease: Similarity and Dissimilarity of Molecular Alerts

Background

Blood brain barrier and Alzheimer’s disease are interrelated. This interrelation is detected by physicochemical methods, pharmacological and electrophysiological analyses. Nature of the phenomenon is extremely complex. The description of this interrelation in mathematical terms is a very important task.

Objective

The systematization of facts, which are described in the literature and related to interaction between processes, which influence Alzheimer's disease and blood brain barrier is the subject of this work. In addition, establishing of correlations between molecular features and endpoints, which are related to the treatment of Alzheimer's disease and blood brain barrier using the CORAL software are subjects of this work.

Methods

The information on logically structured analysis is available in the literature and building up quantitative structure – activity relationships (QSARs) by the Monte Carlo method has been used to solve the task of systematization of facts related to the “treatment of Alzheimer's disease vs. blood brain barrier”.

Results

Comparison of agreements and disagreements of the available published papers together with the statistical quality of built up QSARs are results of this work.

Conclusion

The facts from published papers and technical details of QSAR built up in this study give possibility to formulate the following rules: (i) there are molecular alerts, which are promoters to increase blood brain barrier and therapeutic activity of anti-Alzheimer disease agents; (ii) there are molecular alerts, which contradict each other.

Evaluation of antimicrobial activity and retention behavior of newly synthesized vanilidene derivatives of Meldrum's acids using QSRR approach

Increased antimicrobial resistance together with the lack of new antimicrobial drugs suggest on an urgent need for new therapeutics in this field. Vanilidene derivatives of Meldrum's acid present one of the possible approaches. In this work lipophilicity of 13 vanilidene derivatives of Meldrum's acid as well as their predicted antimicrobial activity towards several characteristic species has been evaluated. 10 vanilidene derivatives have been previously synthesized and 3 new compounds are synthetized afterwards following the same procedure. These selected 13 candidates were examined using thin layer chromatography in two different solvent systems. Gained retention parameters were a starting point for further Quantitative Structure Property Relationships (QSRR) studies in which minimum inhibitory concentration (MIC) for Candida albicans, Trichoderma viride, Penicillium italicum, Fuscarium oxysporum, Pseudomonas aeruginosa and Escherichia coli were determined. Statistically significant QSRR models were established and clustering of the compounds was performed with the help of principal component analysis (PCA) and hierarchical cluster analysis (HCA). Absorption, Distribution, Metabolism, and Excretion (ADME) properties of investigated molecules were subjected to sum of ranking differences (SRD) analysis in order to explore their pharmacokinetic properties. SRD analysis was also performed for the ranking of the established QSRR models. It was shown that compounds 6, 8 and 9 possess a significant antimicrobial activity, satisfied ADME properties and these candidates should be further optimized in order to utilize unexplored potential of Meldrum's acid in synthesis of novel antifungal compounds.