Ratislav Ozhiganov

Mr. Ratislav Ozhiganov

orcid

Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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VFVsevolod L. Filonov
Vsevolod L. Filonov
MKMaxim Khomutov
Maxim Khomutov
ARAlexander Rudenko
Alexander Rudenko
SMSofia Mariasina
Sofia Mariasina
RORatislav Ozhiganov
Ratislav Ozhiganov
AKAlex Khomutov
Alex Khomutov
S-Adenosyl-L-methionine (SAM) is a central cofactor in cellular methylation, donating methyl groups to a wide range of biological substrates. SAM analogues are promising tools for selective modulation of methyltransferase activity. Here, we investigated phosphorus-containing analogues of SAM and S-adenosyl-L-homocysteine (SAH), focusing on the H-phosphinic SAM analogue ((R,S)-SAM-PH) with the HO(H)(O)P group replacing the carboxyl group of SAM. We examined the interaction of (R,S)-SAM-PH with three representative methyltransferases: Dnmt1, responsible for maintenance of DNA methylation; Dnmt3a, which establishes de novo DNA methylation; and catechol-O-methyltransferase (COMT), which methylates protocatechuic aldehyde to yield vanillin and isovanillin. (R,S)-SAM-PH is a methyl group donor for Dnmt3a and COMT, but not for Dnmt1, despite the high structural similarity of the Dnmt1 and Dnmt3a catalytic domains. These results demonstrate that targeted modification of the carboxyl group of SAM can yield analogues with specific activity towards various methyltransferases. The different recognition of (R,S)-SAM-PH by Dnmt3a and Dnmt1 highlights its potential as a molecular probe for distinguishing de novo from maintenance DNA methylation. This work enriches our understanding of methyltransferase substrate specificity and provides a new tool for selective modulation of epigenetic processes.

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AIAnton Izzi
Anton Izzi
ACAlisa Chernyshova
Alisa Chernyshova
MZMikhail Yurievich Zhitlov
Mikhail Yurievich Zhitlov
ARAlexander Rudenko
Alexander Rudenko
RORatislav Ozhiganov
Ratislav Ozhiganov
DLDmitrii Aleksandrovich Lukianov
Dmitrii Aleksandrovich Lukianov
Antimicrobial resistance is a major threat to modern society and healthcare, as it severely compromises the efficacy of standard antibiotic treatments. To meet the ever-increasing demand for novel antimicrobial drugs, it is crucial to develop new strategies for screening antimicrobial compounds and improve existing high-throughput techniques. Reporter systems that employ specific genetic markers are powerful tools not only for detecting antimicrobial activity of the substance being studied, but also for identifying the potential mechanism of its action. Among other metabolic pathways, RNA biosynthesis machinery is considered a promising molecular target as it remains underutilized in current antimicrobial therapy and therefore is rarely exposed to drug pressure. However, there is no suitable biomarker for identifying compounds that inhibit the transcription in Gram-negative bacteria. Combining bioinformatic search and RT-qPCR experimental validation, we have established the overexpression of the spermidine synthase gene (speE) as a biomarker associated with impaired transcription in Escherichia coli. Monitoring the expression level of speE in antibiotic-treated cells enables reliable detection of compounds that inhibit bacterial RNA-polymerase, such as rifampicin and fidaxomicin. Moreover, our screening system was successfully applied in practice to analyze chromatography fractions from fermentation broth of antibiotic producers, with compounds of the rifamycin family being identified as hits and isolated. The proposed method has the potential to be used in sequential screening procedures to reveal active antimicrobial compounds that inhibit bacterial transcription process, giving the world novel antimicrobials with minimal risk of resistance development.

10 August 2026 in Pharmaceuticals
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ARAlexander Yu. Rudenko
Alexander Yu. Rudenko
OKOlga A. Komarova
Olga A. Komarova
ASAlexander Yur'evich Simonov
Alexander Yur'evich Simonov
RORatislav Ozhiganov
Ratislav Ozhiganov
DADmitrii A. Averianov
Dmitrii A. Averianov
ILIgor B. Levshin
Igor B. Levshin
Background: The emergence of antifungal resistance and the limited number of clinically available antifungal drug classes necessitate the development of new agents with improved efficacy and safety. We investigated how linker architecture influences the antifungal activity and lead properties of hybrid triazole-thiazolidine derivatives. Methods: A focused library of triazole-thiazolidine hybrids incorporating alkylamine, amide, cyclic amine, 2-hydroxypropyl, and thiazepane linkers was synthesized and characterized. Antifungal activity was evaluated against reference strains and clinical isolates of Candida spp., Aspergillus fumigatus, dermatophytes, and Cryptococcus neoformans. Structure–activity relationships were analyzed by molecular docking. Selected compounds were further assessed by SCRAPPY profiling, fluorescence microscopy, mammalian-cell cytotoxicity assays, acute oral toxicity studies, and evaluation of microsomal stability and interactions with human CYP450 isoforms. Results: Linker architecture strongly influenced antifungal potency. Amide- and cyclic amine-containing hybrids were generally the most active, whereas simple alkylamide derivatives showed narrower activity profiles. Compound 28 emerged as the most promising lead, exhibiting sub-microgram MIC values against several Candida isolates, particularly C. parapsilosis, and retaining measurable activity against an azole-resistant C. albicans strain. Docking generated putative CYP51-binding models, while SCRAPPY profiling and fluorescence microscopy revealed an azole-like cellular response consistent with perturbation of sterol-associated homeostasis. Compound 28 was tolerated at 300 mg/kg in an acute oral study but showed concentration- and time-dependent cytotoxicity and rapid CYP3A4-mediated microsomal metabolism. Conclusions: Systematic variation of linker architecture identified compound 28 as a promising exploratory antifungal lead. Further optimization should focus on improving metabolic stability and cytotoxicity, together with direct target validation, pharmacokinetic characterization, and in vivo efficacy studies.