DSDar'IA Andreevna Stepankova

Dar'IA Andreevna Stepankova

*This is an algorithmically generated author record based on publicly available information.

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The organizations/institutes from the scholar's latest article


Dar'IA Andreevna Stepankova has a total of 8 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    ANALYSIS OF GENOTYPE FREQUENCIES OF MONONUCLEOTIDE POLYMORPHISMS OF EARLY IMMUNE RESPONSE GENES IN HFRS PATIENTS

    by Dar'IA Andreevna Stepankova, Polina Igorevna Elboeva, Ekaterina Vladimirovna Martynova, Iurii Nikolaevich Davidiuk, Emmanuel Kabve, Natalia Iurevna Andreeva, Svetlana Frantsevna Khaibullina

    Hemorrhagic fever with renal syndrome (HFRS) remains one of the leading natural focal infections in Russia, characterized by pronounced clinical variability. Clinical manifestations of HFRS, in particular, may be determined by single nucleotide polymorphisms (SNPs) in early immune response genes in patients. We determined the allele and genotype frequencies of SNPs in the CASP1 (rs580253) and IL‑6 (rs1800795) genes. CASP1 encodes caspase‑1, an enzyme that is the product of the activated inflammasome, while IL‑6 encodes interleukin‑6, a cytokine of the acute immune response. It was found that the genotype frequencies in the control group conformed to the Hardy–Weinberg law, whereas in HFRS patients a statistically significant deviation from the expected equilibrium was detected, which suggests the existence of correlations between the genotypes of the studied SNPs and the clinical manifestations of the disease.

  • Open Access

    Multiepitope vaccines against infectious diseases: in silico vaccine design and concept

    by Polina Igorevna Elboeva, Natalia Iurevna Andreeva, Dar'IA Andreevna Stepankova, Aleksei Denisovich Batalin, Ekaterina Vladimirovna Martynova, Emmanuel Kabve, Iurii Nikolaevich Davidiuk, Svetlana Frantsevna Khaibullina

    Мультиэпитопные вакцины представляют собой перспективный инструмент профилактики вирусных инфекций, способный индуцировать комплексный гуморальный и клеточный иммунный ответ. В статье рассмотрены современные подходы к проектированию in silico химерных вакцинных конструкций: критерии отбора эпитопов, методы прогнозирования перспективных Т- и В-клеточных эпитопов, выбор линкеров и адъювантов, структурное моделирование, молекулярный докинг и симуляция иммунного ответа. Интеграция иммунноинформатических методов и молекулярного моделирования существенно ускоряет разработку вакцинных кандидатов и повышает точность прогнозирования до начала экспериментальной проверки.