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[Target-directed search of anti-virulence drugs].

Authors: N A, Zigangirova; E D, Fedina; V V, Zorina; P A, Bortsov; E A, Tokarskaia; A S, Kariagina; A V, Alekseevskiĭ; +4 Authors

[Target-directed search of anti-virulence drugs].

Abstract

Modern medicine now encounters with problem of the absence of effective antibacterial drugs, which are able to render therapeutic effect on chronic form of infectious process. Thus, the actual objective is to develop essentially new generation of drugs, on the basis of which should lie identification of new bacterial targets playing key role in process of chronization of infection as well as selection of new physiologically active substances, which are able to render highly specific inhibitory effect on selected target. Solving of this objective is possible during realization of new approaches for search and design of new drugs and, first of all, during usage of bioinformatics methods, which enable to identify new biotargets, select most effective chemical compounds-inhibitors and optimize their pharmacological and pharmacokinetic properties. The most promising bacterial target is secretion systems of pathogenic microorganisms participating in realization of their virulent characteristics and playing major role in transition of infectious process in chronic phase. We performed synthesis of and screening for 80 compounds, which allowed to select a range of inhibitors rendering specific target-directed effect on type 3 secretion system of Chlamydia. Obtained data allow to further assess of biological and therapeutic activity of these compounds on developed models of infectious process in vivo.

Keywords

Bacteria, Virulence, Drug Evaluation, Preclinical, Bacterial Infections, Chlamydia Infections, Anti-Bacterial Agents, Protein Transport, Bacterial Proteins, Drug Design, Chronic Disease, Humans, Chlamydia

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold