Publications by authors named "V A Rudnev"

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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