Publications by authors named "S N Kuzin"

Correction for 'Diffusion equation for the longitudinal spectral diffusion: the case of the RIDME experiment' by Sergei Kuzin , , 2022, , 23517-23531, https://doi.org/10.1039/D2CP03039J.

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The intermolecular hyperfine relaxation-induced dipolar modulation enhancement (ih-RIDME) experiment has a promising potential to quantitatively characterize the nuclear environment in the 0.8-3 nm range around an electron spin. Such information about the spatial arrangement of nuclei is of great interest for structural biology as well as for dynamic nuclear polarization (DNP) methods.

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EquipSent is a volunteer-based non-profit organization aiming at creating conditions for sustainable teaching, study, and academic research worldwide. Used, functional equipment is collected by its members, who are responsible for matching the donations with the receivers in need. After starting in 2017, nine big transfers were accomplished that significantly impacted the quality of local scientific and educational life.

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A new method to quantitatively analyze heterogeneous distributions of local proton densities around paramagnetic centers in unstructured and weakly structured biomacromolecules and soft matter is introduced, and its feasibility is demonstrated on aqueous solutions of stochastically spin-labeled polysaccharides. This method is based on the pulse EPR experiment ih-RIDME (intermolecular hyperfine relaxation-induced dipolar modulation enhancement). Global analysis of a series of RIDME traces allows for a mathematically stable transformation of the time-domain data to the distribution of local proton concentrations.

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Introduction: The design of studies aimed at finding the association between the genetic factor and the studied feature (disease) involves a comparison of the ratio of genotypes or allelic proportions in the study group with those in the control group. At the stage of determining the ratio of genotypes of the studied polymorphisms in the reference group, researchers meet a number of problems, which are the subject of the present work. Aim of the work is to provide scientific rationale for the feasibility of creating a national information system comprising genetic data of the relatively healthy population of Russia, incorporating its ethnic diversity.

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