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  1. 2025

  2. Iterative Modeling via Structural Diffusion (IMSD): Exploring Fold-Switching Pathways in Metamorphic Proteins Using AlphaFold2-Based Generative Diffusion Model UFConf

    Лузик, Д. А. & Скрынников, Н. Р., 25 Sep 2025, (E-pub ahead of print) In: Proteins: Structure, Function and Bioinformatics. 16 p.

    Research output: Contribution to journal › Article › peer-review

  3. Effective uptake of a small helical protein by extracellular vesicles in cell culture experiments

    Тюряева, И. И., Лузик, Д. А., Бушманова, Е. Л., Харьков, Б. Б., Лёвкина, А. Д. & Скрынников, Н. Р., 1 Jul 2025, In: FEBS Open Bio. 15, S2

    Research output: Contribution to journal › Meeting Abstract › peer-review

  4. Iterative modeling via structural diffusion (IMSD): algorithm for prediction of metamorphic proteins fold-switching pathways using AlphaFold2-based generative diffusion model UFConf

    Лузик, Д. А. & Скрынников, Н. Р., 1 Jul 2025, In: FEBS Open Bio. 15, S2

    Research output: Contribution to journal › Meeting Abstract › peer-review

  5. 2024

  6. NMR study of small protein asymmetric dimer

    Лузик, Д. А., Ceccolini, I., Харьков, Б. Б., Лёвкина, А. Д., Подкорытов, И. С., Kay, L. E. & Скрынников, Н. Р., 1 Apr 2024, MAGNETIC RESONANCE AND ITS APPLICATIONS: 21th International School-Conference. Proceedings. Издательство «ВВМ», p. 125 1 p. (MAGNETIC RESONANCE AND ITS APPLICATIONS; vol. 21).

    Research output: Chapter in Book/Report/Conference proceeding › Conference abstracts › peer-review

  7. Using multiple computer-predicted structures as molecular replacement models in protein crystallography: application to antiviral mini-protein LCB2

    Корбан, С. А., Михайловский, О., Лузик, Д. А., Гуржий, В. В., Лёвкина, А. Д., Харьков, Б. Б. & Скрынников, Н. Р., 2024, In: Protein Science. 33, S1, p. 217-218

    Research output: Contribution to journal › Article › peer-review

  8. Using multiple computer-predicted structures as MR models in protein crystallography: application to antiviral mini-protein LCB2.

    Корбан, С. А., Михайловский, О. В., Лузик, Д. А., Гуржий, В. В., Лёвкина, А. Д., Харьков, Б. Б. & Скрынников, Н. Р., 2024, p. 11. 1 p.

    Research output: Contribution to conference › Abstract › peer-review

  9. 2023

  10. Engineered mini-protein LCB2 (blocking ligand of SARS-Cov-2 spike protein)

    Корбан, С. А., Михайловский, О. В., Лузик, Д. А., Гуржий, В. В., Лёвкина, А. Д., Харьков, Б. Б. & Скрынников, Н. Р., 12 Apr 2023, Protein Data Bank, p. University of Sydney.

    Research output: Working paper

  11. 2022

  12. New developments in the area of diffusion NMR for protein systems

    Харьков, Б. Б., Подкорытов, И. С., Саликов, В. А., Лебеденко, О. О., Измайлов, С. А., Лузик, Д. А., Бондарев, С. А., Белоусов, М. В., Журавлева, Г. А. & Скрынников, Н. Р., 2022, ICONS5 2022. Intercontinental Magnetic Resonance Conference on Methods and Applications.. p. 11-12 2 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference abstracts › peer-review

  13. 2021

  14. Diffusion NMR Measurements: What can we Learn about the Compactness of Disordered Proteins?

    Salikov, V. A., Podkorytov, I. S., Kharkov, B. B., Luzik, D. A., Matiiv, A. B., Bondarev, S. A. & Skrynnikov, N. R., 12 Feb 2021, In: Biophysical Journal. 120, 3, p. 311A-311A 1 p.

    Research output: Contribution to journal › Meeting Abstract › peer-review

  15. How accurate are PRE-derived distances? Combined MD and experimental study of spin-labeled GB1 domain

    Лебеденко, О. О., Измайлов, С. А., Лузик, Д. А. & Скрынников, Н. Р., 12 Feb 2021, In: Biophysical Journal. 120, 3 Supp,.1, p. 76A-77A 371.

    Research output: Contribution to journal › Meeting Abstract › peer-review

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