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  1. Computational modeling of curcumin-based fluorescent probe molecules

    Satalkar, V., Rusmore, T. A., Phillips, E., Pan, X., Benassi, E., Wu, Q., Ran, C. & Shao, Y., 23 Jan 2019, In: Theoretical Chemistry Accounts. 138, 2, 11 p., 29.

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

  2. Computational modeling of the cell-autonomous mammalian circadian oscillator

    Podkolodnaya, O. A., Tverdokhleb, N. N. & Podkolodnyy, N. L., 24 Feb 2017, In: BMC Systems Biology. 11, Suppl 1, p. 379 16 p., 18.

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

  3. Computational Modeling of Turbulent Flows

    Salomatov, V. V. & Salomatov, V. V., 1 Feb 2020, In: Journal of Engineering Thermophysics. 29, 1, p. 156-169 14 p.

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

  4. Computational Modeling Study of the Molecular Basis of dNTP Selectivity in Human Terminal Deoxynucleotidyltransferase

    Ukladov, E. O., Tyugashev, T. E. & Kuznetsov, N. A., Aug 2024, In: Biomolecules. 14, 8, 961.

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

  5. Computational model of circadian oscillator in mammals: Interaction with NAD+/SIRT1 system and age-related changes in the expression of circadian oscillator genes

    Podkolodnyy, N. L., Tverdokhleb, N. N. & Podkolodnaya, O. A., 1 Jul 2017, In: Russian Journal of Genetics: Applied Research. 7, 5, p. 565-573 9 p.

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

  6. Computational models in genetics at BGRS-2018

    Orlov, Y. L., Tatarinova, T. V. & Kochetov, A. V., 18 Mar 2019, In: BMC Genetics. 20, Suppl 1, p. 28 3 p., 28.

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

  7. Computational models of filtration gas combustion

    Laevsky, Y. M. & Nosova, T. A., 1 Apr 2017, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 32, 2, p. 115-125 11 p.

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

  8. Computational Reconstruction of the Transcription Factor Regulatory Network Induced by Auxin in Arabidopsis thaliana L.

    Omelyanchuk, N. A., Lavrekha, V. V., Bogomolov, A. G., Dolgikh, V. A., Sidorenko, A. D. & Zemlyanskaya, E. V., 10 Jul 2024, In: Plants. 13, 14, 1905.

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

  9. Computational study of chemical phenol glycosylation mechanism in the gas phase for modeling direct glycoconjugate formation in raw plant material

    Tretyakova, I. S., Rychkov, D. A., Kil'met'ev, A. S. & Lomovskiy, I. O., Jul 2023, In: Computational and Theoretical Chemistry. 1225, 7 p., 114182.

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

  10. Computational study of heat and fluid flow around a rotary oscillating cylinder at a high Re number

    Hadžiabdić, M., Palkin, E., Mullyadzhanov, R. & Hanjalić, K., 2018, THMT 2018 - Proceedings of the 9th International Symposium on Turbulence Heat and Mass Transfer. Begell House Inc., p. 359-370 12 p. (Proceedings of the International Symposium on Turbulence, Heat and Mass Transfer; vol. 2018-July).

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

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