Publications by authors named "Rudnev V"

Biobanks are involved in a broad range of studies, including both basic and clinical research, so their functions and roles are evolving. Digital biobanks have emerged due to digitalization in this field; however, it also entails an increasing number of ethical and legal issues, in particular those related to the protection of donor data and potential commercial applications. The development of biobanks and the size of stored datasets lay the groundwork for proceeding to digital biobanks that intensely employ artificial intelligence tools.

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  • - The study aims to advance the diagnosis and treatment of schizophrenia by identifying blood biomarkers, moving away from solely subjective assessments of clinical symptoms.
  • - Researchers conducted a detailed proteomic analysis of plasma samples from 48 schizophrenia patients and 50 healthy individuals, using advanced techniques to evaluate protein presence.
  • - Findings revealed unique proteins in schizophrenia patients that are linked to key biological processes, enhancing the understanding of the disorder's molecular mechanisms and potential therapeutic targets.
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The primary objective of analyzing the data obtained in a mass spectrometry-based proteomic experiment is peptide and protein identification, or correct assignment of the tandem mass spectrum to one amino acid sequence. Comparison of empirical fragment spectra with the theoretical predicted one or matching with the collected spectra library are commonly accepted strategies of proteins identification and defining of their amino acid sequences. Although these approaches are widely used and are appreciably efficient for the well-characterized model organisms or measured proteins, they cannot detect novel peptide sequences that have not been previously annotated or are rare.

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  • Many studies show that post-translational modifications (PTMs) like phosphorylation influence protein function, but there's no agreement on how much they alter protein structure.
  • The research specifically focuses on phosphorylation of serine, threonine, and tyrosine and examines how these modifications affect various geometric parameters of proteins.
  • It was found that phosphorylation leads to varying degrees of structural changes in proteins, particularly around the modification site, and this can switch proteins from inactive to active states.
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  • Researchers developed a new tool called SAFoldNet to improve the comparison and searching of 3D protein structures in structural biology.
  • SAFoldNet combines neural networks with the BLAST algorithm and uses a multistage process involving geometry conversion, candidate structure formation, and structural alignment refinement.
  • The tool's effectiveness was validated against current services, leading to a user-friendly web interface that allows for various protein structure analyses and provides similarity metrics.
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Amino acid substitutions and post-translational modifications (PTMs) play a crucial role in many cellular processes by directly affecting the structural and dynamic features of protein interaction. Despite their importance, the understanding of protein PTMs at the structural level is still largely incomplete. The Protein Data Bank contains a relatively small number of 3D structures having post-translational modifications.

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  • The study explores two types of protein structures, three-helix bundles and SH3-type barrels, across various organisms using a neural graph network to analyze their spatial folds.
  • Molecular experiments were conducted on small proteins with these structures, evaluating parameters like stability and structural integrity at different temperatures (300K, 340K, and 370K).
  • The research aims to show that it is possible to analyze these protein folds independently from their protein environment, leading to improved efficiency and reduced computation time without losing essential information.
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Reduction in tumor necrosis factor (αTNF) and interleukin-6 (IL-6) activities is a widely utilized strategy for the treatment of rheumatoid arthritis (RA) with a high success rate. Despite both schemes targeting the deprivation of inflammatory reactions caused by the excessive activity of cytokines, their mechanisms of action and the final output are still unequal. This was a comparative longitudinal study that lasted for 24 weeks and aimed to find the answer to why the two schemes of therapy can pass out of proportion in attitude of their efficiency.

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  • This study investigates the relationship between Ga-PSMA-11 uptake in prostate cancer and the expression of prostatic specific membrane antigen (PSMA), examining how these relate to Gleason scores and MRI data.
  • Forty patients with newly diagnosed prostate cancer underwent assessments using Ga-PSMA-11-PET/MRI to measure PSMA expression and tumor characteristics.
  • Findings show a significant correlation between Ga-PSMA-11 levels and PSMA expression, particularly with Gleason patterns 3 and 4, indicating that these factors can help assess tumor aggressiveness and patient prognosis.
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  • * Alpha-synuclein, which can aggregate and harm cells, interacts with cyclophilin A to prevent these destructive aggregations, highlighting the importance of chaperone proteins.
  • * Using advanced molecular docking techniques, we identified how alpha-synuclein, cyclophilin A, and Anle138b can form a stable complex, primarily through hydrophobic and hydrogen bonding interactions.
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A super-secondary structure (SSS) is a spatially unique ensemble of secondary structural elements that determine the three-dimensional shape of a protein and its function, rendering SSSs attractive as folding cores. Understanding known types of SSSs is important for developing a deeper understanding of the mechanisms of protein folding. Here, we propose a universal PSSNet machine-learning method for SSS recognition and segmentation.

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  • * A study of 3,661 healthy athletes used various medical examinations and machine learning to analyze health indicators related to recovery post-competition.
  • * Key findings indicated that muscle metabolism parameters (like aspartate aminotransferase and creatine kinase) and ornithine cycle parameters (like creatinine and urea) were crucial for distinguishing between catabolic and anabolic metabolism in athletes.
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  • - This study examined how 3β-corner super-secondary structures maintain their stability in water, independent of protein globules, using molecular dynamics (MD) simulations.
  • - Researchers analyzed various geometric parameters, like gyration radius and hydrogen bonds, and characterized a set of 3β-corner structures to show they consistently retained their formation.
  • - The findings suggest that 3β-corners are stable in aqueous environments and could serve as essential building blocks for protein folding and offer a standalone focus for structural biology research.
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  • * JAK and STAT proteins play key roles in signaling processes related to inflammation and are important in autoimmune diseases like rheumatoid arthritis.
  • * The study explored how the drug ruxolitinib interacts with JAK1 and JAK2, showing it binds selectively to these proteins with strong binding affinities, mainly through hydrophobic interactions.
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  • Protein post-translational modifications (PTMs) play a vital role in various cellular functions and their dysregulation is linked to diseases like rheumatoid arthritis (RA).
  • The three key PTMs involved in RA include glycosylation, which influences antigen presentation, citrullination, which is closely linked to the presence of specific autoantibodies, and carbamylation.
  • This study analyzed proteins with PTMs relevant to RA over the past 20 years, identifying target proteins, exploring their structural characteristics, and conducting molecular dynamics experiments to understand how these modifications may relate to the disease's development.
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  • Rheumatoid arthritis (RA) is a chronic autoimmune disease that causes joint damage and significant disability, largely driven by cytokines and the JAK/STAT signaling pathway.
  • The development of small molecule inhibitors targeting the JAK family has transformed RA treatment, with upadacitinib (Rinvoq) being a notable option due to its selectivity for JAK1 over JAK2 and JAK3.
  • Research indicates that the binding characteristics of upadacitinib with JAK1 through hydrogen bonds provide insights into its mechanism of action and how it differs among various JAK isoforms.
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  • Mass spectrometric profiling reveals the protein and metabolic composition of biological samples, but current computational methods struggle to accurately correlate spectra to molecular components, limiting its use in classifying diseases.
  • The study explores machine learning, specifically 1D and 3D convolutional neural networks (CNNs), to analyze raw mass spectrometry data directly for cancer classification, achieving a high accuracy of 0.95 in distinguishing between various cancer phenotypes and healthy individuals.
  • The neural networks demonstrated the ability to classify cancer types and assess their similarities, paving the way for more efficient identification of complex biological data without traditional preprocessing hurdles.
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Proteins expressed during the cell cycle determine cell function, topology, and responses to environmental influences. The development and improvement of experimental methods in the field of structural biology provide valuable information about the structure and functions of individual proteins. This work is devoted to the study of supersecondary structures of proteins and determination of their structural motifs, description of experimental methods for their detection, databases, and repositories for storage, as well as methods of molecular dynamics research.

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Post-translational modification (PTM) leads to conformational changes in protein structure, modulates the biological function of proteins, and, consequently, changes the signature of metabolic transformations and the immune response in the body. Common PTMs are reversible and serve as a mechanism for modulating metabolic trans-formations in cells. It is likely that dysregulation of post-translational cellular signaling leads to abnormal proliferation and oncogenesis.

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Post-translational processing leads to conformational changes in protein structure that modulate molecular functions and change the signature of metabolic transformations and immune responses. Some post-translational modifications (PTMs), such as phosphorylation and acetylation, are strongly related to oncogenic processes and malignancy. This study investigated a PTM pattern in patients with gender-specific ovarian or breast cancer.

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The association between cancer risk and schizophrenia is widely debated. Despite many epidemiological studies, there is still no strong evidence regarding the molecular basis for the comorbidity between these two pathological conditions. The vast majority of assays have been performed using clinical records of schizophrenic patients or those undergoing cancer treatment and monitored for sufficient time to find shared features between the considered conditions.

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Sequencing of the human genome and further developments in "omics" technologies have opened up new possibilities in the study of molecular mechanisms underlying athletic performance. It is expected that molecular markers associated with the development and manifestation of physical qualities (speed, strength, endurance, agility, and flexibility) can be successfully used in the selection systems in sports. This includes the choice of sports specialization, optimization of the training process, and assessment of the current functional state of an athlete (such as overtraining).

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New advances in protein post-translational modifications (PTMs) have revealed a complex layer of regulatory mechanisms through which PTMs control cell signaling and metabolic pathways, contributing to the diverse metabolic phenotypes found in cancer. Using conformational templates and the three-dimensional (3D) environment investigation of proteins in patients with colorectal cancer, it was demonstrated that most PTMs (phosphorylation, acetylation, and ubiquitination) are localized in the supersecondary structures (helical pairs). We showed that such helical pairs are represented on the outer surface of protein molecules and characterized by a largely accessible area for the surrounding solvent.

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Electrostatic cylindrical deflectors act as energy analyzer for ion beams. In this article, we present that by imposing of a radio-frequency modulation on the deflecting electric field, the ion transmission becomes mass dependent. By the choice of the appropriate frequency, amplitude, and phase, the deflector can be used as mass filter.

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A cathode discharge source coupled to a deceleration unit for anion beam generation is described. The discharge source, made of stainless steel or duralumin electrodes and Macor insulators, is attached to the exit nozzle valve plate at one end, and to an Einzel lens to the other end. Subsequently, a cylindrical retardation unit is attached to the Einzel lens to decelerate the ions in order to optimize the laser beam interaction time required for spectroscopic investigations.

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