1 - 6 out of 6Page size: 10
  1. 2026

  2. Structure–Activity Relationship Analysis of Immunoassay Systems for (Fluoro)quinolones Detection

    Чеботаев, П. П., Буглак, А. А., Бызова, Н., Жердев, А. & Гендриксон, О., 12 Sep 2026, In: International Journal of Molecular Sciences. 27, 24 p., 8140.

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

  3. 2025

  4. Applications of QSPR and Machine Learning in Molecular Photonics

    Буглак, А. А., Чеботаев, П. П. & Филатов, М. А., 25 Nov 2025, In: Advanced Optical Materials. 13, 33, 23 p., e01713.

    Research output: Contribution to journal › Review article › peer-review

  5. QSAR and machine learning applied for the analysis of (fluoro)quinolone activity

    Буглак, А. А., Чеботаев, П. П., Жердев, А. & Гендриксон, О., 6 Nov 2025, (E-pub ahead of print) In: Expert Opinion on Drug Discovery. 23 p.

    Research output: Contribution to journal › Review article › peer-review

  6. Predicting the quantum yield of 1O2 generation for pteridines and fluoroquinolones using machine learning

    Чеботаев, П. П. & Буглак, А. А., 7 Oct 2025, In: Physical Chemistry Chemical Physics. 27, 44, p. 23722-23740 19 p.

    Research output: Contribution to journal › Review article › peer-review

  7. 2024

  8. Predicting fluorescence to singlet oxygen generation quantum yield ratio for BODIPY dyes using QSPR and machine learning

    Чеботаев, П. П., Буглак, А. А., Sheehan, A. & Филатов, М. А., 18 Sep 2024, In: Physical Chemistry Chemical Physics. 26, 38, p. 25131-25142 12 p.

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

  9. 2023

  10. Pterin interactions with gold clusters: A theoretical study

    Chebotaev, P. P., Plavskii, V. Y., Kononov, A. I. & Buglak, A. A., 1 Aug 2023, In: Dyes and Pigments. 216, 111323.

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

ID: 28943425