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  1. An Accurate and Efficient Approach to Knowledge Extraction from Scientific Publications Using Structured Ontology Models, Graph Neural Networks, and Large Language Models

    Ivanisenko, T. V., Demenkov, P. S. & Ivanisenko, V. A., 3 Nov 2024, In: International Journal of Molecular Sciences. 25, 21, 11811.

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

  2. A modular visual model of energy metabolism in human skeletal muscle

    Kiselev, I. N., Akberdin, I. R., Vertyshev, A. Y., D.V., P. & Kolpakov, F. A., 1 Jan 2019, In: Mathematical Biology and Bioinformatics. 14, 2, p. 373-392 20 p.

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

  3. A modular mathematical model of exercise-induced changes in metabolism, signaling, and gene expression in human skeletal muscle

    Akberdin, I. R., Kiselev, I. N., Pintus, S. S., Sharipov, R. N., Vertyshev, A. Y., Vinogradova, O. L., Popov, D. V. & Kolpakov, F. A., 1 Oct 2021, In: International Journal of Molecular Sciences. 22, 19, 10353.

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

  4. A matrix metalloproteinase 9 (MMP9) gene single nucleotide polymorphism is associated with predisposition to tick-borne encephalitis virus-induced severe central nervous system disease

    Barkhash, A. V., Yurchenko, A. A., Yudin, N. S., Ignatieva, E. V., Kozlova, I. V., Borishchuk, I. A., Pozdnyakova, L. L., Voevoda, M. I. & Romaschenko, A. G., 1 May 2018, In: Ticks and Tick-borne Diseases. 9, 4, p. 763-767 5 p.

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

  5. A mathematical model linking Ca2+-dependent signaling pathway and gene expression regulation in Human Skeletal Muscle

    Akberdin, I. R., Vertyshev, A. Y., Pintus, S. S., Popov, D. V. & Kolpakov, F. A., 1 Jan 2020, In: Mathematical Biology and Bioinformatics. 15, 1, p. 20-39 20 p.

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

  6. AltORFev facilitates the prediction of alternative open reading frames in eukaryotic mRNAs

    Kochetov, A. V., Allmer, J., Klimenko, A. I., Zuraev, B. S., Matushkin, Y. G., Lashin, S. A. & Hancock, J. (ed.), 15 Mar 2017, In: Bioinformatics. 33, 6, p. 923-925 3 p.

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

  7. Algorithm for the Reconstruction of Mathematical Frame Models of Bacterial Transcription Regulation

    Lakhova, T. N., Kazantsev, F. V., Mukhin, A. M., Kolchanov, N. A., Matushkin, Y. G. & Lashin, S. A., Dec 2022, In: Mathematics. 10, 23, 4480.

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

  8. AI-Assisted Identification of Primary and Secondary Metabolomic Markers for Postoperative Delirium

    Ivanisenko, V. A., Rogachev, A. D., Makarova, A-L. A., Basov, N. V., Gaisler, E. V., Kuzmicheva, I. N., Demenkov, P. S., Venzel, A. S., Ivanisenko, T. V., Antropova, E. A., Kolchanov, N. A., Plesko, V. V., Moroz, G. B., Lomivorotov, V. V. & Pokrovsky, A. G., Nov 2024, In: International Journal of Molecular Sciences. 25, 21, 11847.

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

  9. Agent-Based Modeling of Autosomal Recessive Deafness 1A (DFNB1A) Prevalence with Regard to Intensity of Selection Pressure in Isolated Human Population

    Romanov, G. P., Smirnova, A. A., Zamyatin, V. I., Mukhin, A. M., Kazantsev, F. V., Pshennikova, V. G., Teryutin, F. M., Solovyev, A. V., Fedorova, S. A., Posukh, O. L., Lashin, S. A. & Barashkov, N. A., Feb 2022, In: Biology. 11, 2, 257.

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

  10. A genome-scale metabolic model of 2,3-butanediol production by thermophilic bacteria geobacillus icigianus

    Kulyashov, M., Peltek, S. E. & Akberdin, I. R., 1 Jul 2020, In: Microorganisms. 8, 7, p. 1-13 13 p., 1002.

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

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