Eydelman Y.A.

Eydelman Yuriy A.

Degree: Candidate of Sciences (PhD) in Physics and Mathematics

Associate Professor

Department of Semiconductor Quantum Electronics
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Languages

english
Works at MEPhI since 2007
Work Experience: 12 years

Education

1999 — National Research Nuclear University MEPhI

Publication activity

Showing publications for last 3 years

  1. Article
    Web of Science & Scopus
    Computer Simulation of Short DNA Fragments Induced by High-LET Charged Particles // Biophysics (Russian Federation), 2024 Vol. 69, No. 2 pp. 201-208 doi
  2. Article Computer simulation of short DNA fragments induced by high-LET charged particles // Biophysics, Pleiades Publishing Inc, 2024 Vol. 69, No. 2 pp. 201-208 doi
  3. Article
    Web of Science & Scopus
    Calculation of Radiation-induced DNA Damage Efficiency. Analysis of Uncertainties // Radiatsionnaya Biologiya. Radioekologiya, 2023 Vol. 63, No. 1 pp. 34-46 doi
  4. Article
    Web of Science & Scopus
    Calculation of Radiation-Induced DNA Damage Efficiency: Analysis of Uncertainties // Biology Bulletin, 2023 Vol. 50, No. 12, Q3 pp. 3196-3207 doi
  5. Article
    Web of Science & Scopus
    Impact of the 3D Chromatin Organization on Promoter–Super-Enhancer Interactions in Embryonic Stem Cells and Cancer Cells // Russian Journal of Genetics, 2023 Vol. 59, No. 6, Q4 pp. 585-594 doi
  6. Article Impact of Chromatin 3D-Organization on Promoter–Superenhancer Interactions in Embryonic Stem vs Cancer Cells // Russian Journal of Genetics, Springer, 2023 Vol. 59, No. 6 pp. 676-686 doi
  7. Article Chromosome Folding Promotes Intrachromosomal Aberrations under Radiation- and Nuclease-Induced DNA Breakage // International Journal of Molecular Sciences, MDPI, 2021 Vol. 22, No. 22 pp. 12186 doi

Showing conferences for last 3 years

  1. Ноябрь 2023 VIII international symposium on physics, engineering and technologies for biomedicine Report: Analysis of uncertainties in simulation of DNA damage by ionizing radiation

Grants

Feb 2014 — Dec 2016 Development of computational modeling tools and study of 3D chromatin organization aimed to establish quantitative relationships between genome structure and functions RFBR

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