1. Computational identification of promising genetic markers associated with molecular mechanisms of reduced rice resistance to Rhizoctonia solani under excess nitrogen fertilization using gene network reconstruction and analysis methods

    Antropova, E. A., Volyanskaya, A. R., Adamovskaya, A. V., Demenkov, P. S., Yatsyk, I. V., Ivanisenko, T. V., Orlov, Y. L., Haoyu, C., Chen, M. & Ivanisenko, V. A., 2024, In: Vavilovskii Zhurnal Genetiki i Selektsii. 28, 8, p. 960-973 14 p.

    Research output: Contribution to journalArticlepeer-review

  2. Composition of bacterial microbiome in sputum of patients with localized forms of pulmonary tuberculosis

    Druzhinin, V. G., Baranova, E. D., Demenkov, P. S., Zakharova, J. V., Lavryashina, M. B., Larionov, A. V., Matskova, L. V., Shabaldin, A. V. & Pyanzova, T. V., 2023, In: Pulmonologiya. 33, 5, p. 645-656 12 p.

    Research output: Contribution to journalArticlepeer-review

  3. Combined quantitation of HMGA2 mRNA, microRNAs, and mitochondrial-DNA content enables the identification and typing of thyroid tumors in fine-needle aspiration smears

    Titov, S. E., Ivanov, M. K., Demenkov, P. S., Katanyan, G. A., Kozorezova, E. S., Malek, A. V., Veryaskina, Y. A. & Zhimulev, I. F., 28 Oct 2019, In: BMC Cancer. 19, 1, 1010.

    Research output: Contribution to journalArticlepeer-review

  4. Chronic dust bronchitis: composition of the sputum bacterial microbiome and its association with chromosome damage in blood lymphocytes

    Druzhinin, V. G., Baranova, E. D., Demenkov, P. S., Matskova, L. V., Paradnikova, S. A., Volobaev, V. P. & Larionov, A. V., 2022, In: Ecological Genetics. 20, 4, p. 325-337 13 p.

    Research output: Contribution to journalArticlepeer-review

  5. Candidate SNP Markers Significantly Altering the Affinity of the TATA-Binding Protein for the Promoters of Human Genes Associated with Primary Open-Angle Glaucoma

    Zolotareva, K., Dotsenko, P. A., Podkolodnyy, N., Ivanov, R., Makarova, A. L., Chadaeva, I., Bogomolov, A., Demenkov, P. S., Ivanisenko, V., Oshchepkov, D. & Ponomarenko, M., Dec 2024, In: International Journal of Molecular Sciences. 25, 23, 12802.

    Research output: Contribution to journalArticlepeer-review

  6. Candidate SNP Markers Significantly Altering the Affinity of TATA-Binding Protein for the Promoters of Human Hub Genes for Atherogenesis, Atherosclerosis and Atheroprotection

    Bogomolov, A., Filonov, S., Chadaeva, I., Rasskazov, D., Khandaev, B., Zolotareva, K., Kazachek, A., Oshchepkov, D., Ivanisenko, V. A., Demenkov, P., Podkolodnyy, N., Kondratyuk, E., Ponomarenko, P., Podkolodnaya, O., Mustafin, Z., Savinkova, L., Kolchanov, N., Tverdokhleb, N. & Ponomarenko, M., 19 May 2023, In: International Journal of Molecular Sciences. 24, 10, 9010.

    Research output: Contribution to journalArticlepeer-review

  7. Candidate SNP markers of changes in the expression levels of the human SCN9A gene as a hub gene for pain generation, perception, response and anesthesia

    Dotsenko, P. A., Zolotareva, K. A., Ivanov, R. A., Chadaeva, I. V., Podkolodnyy, N. L., Ivanisenko, V. A., Demenkov, P. S., Lashin, S. A. & Ponomarenko, M. P., Dec 2024, In: Vavilovskii Zhurnal Genetiki i Selektsii. 28, 8, p. 808-821 14 p.

    Research output: Contribution to journalArticlepeer-review

  8. A new version of the ANDSystem tool for automatic extraction of knowledge from scientific publications with expanded functionality for reconstruction of associative gene networks by considering tissue-specific gene expression

    Ivanisenko, V. A., Demenkov, P. S., Ivanisenko, T. V., Mishchenko, E. L. & Saik, O. V., 5 Feb 2019, In: BMC Bioinformatics. 20, Suppl 1, 11 p., 34.

    Research output: Contribution to journalArticlepeer-review

  9. ANDDigest: a new web-based module of ANDSystem for the search of knowledge in the scientific literature

    Ivanisenko, T. V., Saik, O. V., Demenkov, P. S., Ivanisenko, N. V., Savostianov, A. N. & Ivanisenko, V. A., 14 Sept 2020, In: BMC Bioinformatics. 21, Suppl 11, p. 228 21 p., 228.

    Research output: Contribution to journalArticlepeer-review

  10. 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 journalArticlepeer-review

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