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JournalISSN: 2310-6905

Biomeditsinskaya khimiya 

About: Biomeditsinskaya khimiya is an academic journal. The journal publishes majorly in the area(s): Chemistry & Antioxidant. It has an ISSN identifier of 2310-6905. Over the lifetime, 470 publications have been published receiving 2239 citations.


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Journal ArticleDOI
TL;DR: In the review the contemporary achievements in the study of PNP from various biological objects are presented, the physiological role of the enzyme is discussed, and the enzyme basic reaction mechanisms and actions are considered.
Abstract: Purine nucleoside phosphorylase (PNP) is one of the most important enzymes of the purine metabolism, wich promotes the recycling of purine bases. Nowadays is the actual to search for effective inhibitors of this enzyme which is necessary for creation T-cell immunodeficient status of the organism in the organs and tissues transplantation, and chemotherapy of a number pathologies as well. For their successful practical application necessary to conduct in-depth and comprehensive study of the enzyme, namely a structure, functions, and an affinity of the reaction mechanism. In the review the contemporary achievements in the study of PNP from various biological objects are presented. New data describing the structure of PNP are summarised and analysed. The physiological role of the enzyme is discussed. The enzyme basic reaction mechanisms and actions are considered. The studies on enzyme physicochemical, kinetic, and catalytic research are presented.

38 citations

Journal ArticleDOI
TL;DR: The study showed presence of high amount of exosomes in human tears, and relation of the exosome with RNA (size less than 200 nt) and DNA (size was 3-9 kb), and Sequencing of the DNA showed that about 92% of the reads mapped to human genome.
Abstract: Exosomes represent a sort of extracellular vesicles, which transfer molecular signals in organism and possess markers of producing cells. Our study was aimed at search of exosomes in the tears of healthy humans, confirmation of their nature and examination of exosome morphological and molecular-biological characteristics. The tears (110-340 ml) were collected from 24 healthy donors (aged 46-60 years); individual probes were centrifuged at 20000 g for 15 min to pellet cell debris. The supernatants were examined in electron microscope using negative staining; and they were also used for isolation and purification of the exosomes by filtration (100 nm pore-size) and double ultracentrifugation (90 min at 100000 g, 4°C). The “pellets” were subjected to electron microscopy, immunolabeling. The RNA and DNA were isolated from the samples, and their sizes were evaluated by capillary electrophoresis, the concentration and localization of nucleic acids were determined. Sequencing of DNA was performed using MiSeq (“Illumina”, USA), data were analyzed using CLC GW 7.5 (“Qiagen”, USA). Sequences were mapped on human genome (hg19). Electron microscopy revealed in supernatants of the tears cell debris, spherical microparticles (20-40 nm), membrane vesicles and macromolecular aggregates. The “pellets” obtained after ultracentrifugation, contained microparticles (17%), spherical and cup-shaped EVs (40-100 nm, 83%), which were positive for CD63, CD9 and CD24 receptors (specific markers of exosomes). Our study showed presence of high amount of exosomes in human tears, and relation of the exosomes with RNA (size less than 200 nt) and DNA (size was 3-9 kb). Sequencing of the DNA showed that about 92% of the reads mapped to human genome.

33 citations

Journal ArticleDOI
TL;DR: An overview of the studies performed by the Laboratory for Structure-Function Based Drug Design of IBMC is presented, which has developed the approaches to identifying promising pharmacological targets and predicting several thousand types of biological activity.
Abstract: New drug discovery is based on the analysis of public information about the mechanisms of the disease, molecular targets, and ligands, which interaction with the target could lead to the normalization of the pathological process. The available data on diseases, drugs, pharmacological effects, molecular targets, and drug-like substances, taking into account the combinatorics of the associative relations between them, correspond to the Big Data. To analyze such data, the application of computer-aided drug design methods is necessary. An overview of the studies in this area performed by the Laboratory for Structure-Function Based Drug Design of IBMC is presented. We have developed the approaches to identifying promising pharmacological targets, predicting several thousand types of biological activity based on the structural formula of the compound, analyzing protein-ligand interactions based on assessing local similarity of amino acid sequences, identifying likely molecular mechanisms of side effects of drugs, calculating the integral toxicity of drugs taking into account their metabolism, have been developed in the human body, predicting sustainable and sensitive options strains and evaluating the effectiveness of combinations of antiretroviral drugs in patients, taking into account the molecular genetic characteristics of the clinical isolates of HIV-1. Our computer programs are implemented as the web-services freely available on the Internet, which are used by thousands of researchers from many countries of the world to select the most promising substances for the synthesis and determine the priority areas for experimental testing of their biological activity.

25 citations

Journal ArticleDOI
TL;DR: The results of their analysis reveal that markers commonly used for cancer stem cells deriving were as follows: CD133, СD44, ALDH, CD34, CD24 and EpCAM.
Abstract: This systematic review aims to analyze molecular markers of cancer stem cells. Only studies that confirmed tumor-initiating capacity of this population by in vivo assay in immunodeficient mice were included. Final sample of papers that fully correspond with initial aim consists of 97 original studies. The results of their analysis reveal that markers commonly used for cancer stem cells deriving were as follows: CD133, СD44, ALDH, CD34, CD24 and EpCAM. The review also contains description of molecular features of some cancer stem cell markers, modern approaches to cancer treatment by targeting this population and brief assessment of cancer stem cell theory development.

21 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202318
202214
202114
202028
201934
201840