1. 2022
  2. 2023
  3. Cell type-specific interpretation of noncoding variants using deep learning-based methods

    Sindeeva, M., Chekanov, N., Avetisian, M., Shashkova, T. I., Baranov, N., Malkin, E., Lapin, A., Kardymon, O. & Fishman, V., 20 Mar 2023, In: GigaScience. 12, p. 1-11 11 p., giad015.

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

  4. Direct UV photodegradation of nalidixic acid in aqueous solutions: A mechanistic study

    Tyutereva, Y. E., Snytnikova, O. A., Fedunov, R. G., Yanshole, V. V., Plyusnin, V. F., Xu, J. & Pozdnyakov, I. P., Sept 2023, In: Chemosphere. 334, 138952.

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

  5. 2024
  6. 2025
  7. РАЗДЕЛЕНИЕ СТАНДАРТНОГО НАБОРА АМИНОКИСЛОТ НА ГРУППЫ В СООТВЕТСТВИИ С ИХ ЭВОЛЮЦИОННЫМ ВОЗРАСТОМ

    Efimov, V. M., Efimov, K. V. & Kovaleva, V. Y., 2025, In: Molekuliarnaia biologiia. 59, 2, p. 299-308 10 p.

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

  8. 2026
  9. Гендерные и возрастные особенности психического здоровья детей и подростков

    Slobodskaya, H. R., Kornienko, O. S., Safronova, M. V., Ryabichenko, T. I., Varshal, A. V., Petrenko, E. N. & Kozlova, E. A., 2026, In: Zhurnal Nevrologii i Psihiatrii imeni S.S. Korsakova. 126, 2, p. 109-115 7 p.

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

  10. Coordination of Nucleoside Triphosphates in the Active Site of the Human TdT during Template-Independent DNA Synthesis

    Senchurova, S. I., Tyugashev, T. E. & Kuznetsov, N. A., 10 Feb 2026, In: Biochemistry (Moscow). 91, 1, p. 102-118 17 p.

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

  11. Recent Advances in Searching for DNMT Inhibitors and Their Potential Application in Treating Human Diseases

    Bulygin, A. A., Davletgildeeva, A. T. & Kuznetsov, N. A., 19 May 2026, In: International Journal of Molecular Sciences. 27, 10, 31 p., 4560.

    Research output: Contribution to journal › Review article › peer-review

  12. HIV-V3Augur: A Novel Machine Learning Model for Predicting HIV-1 Tropism in Sub-Subtype A6 and CRF63_02A6, Predominant Variants in Russia and Countries of the Former Soviet Union

    Elfimov, K., Gotfrid, L., Nokhova, A., Gashnikova, M., Ekushov, V., Halikov, M., Osipova, I., Baboshko, D., Murzin, A., Kondeikin, I., Kiryakina, A., Totmenin, A., Agaphonov, A. & Gashnikova, N., 25 Jun 2026, In: Viruses. 18, 7, 27 p.

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

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