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6 projects found matching your search criteria:

  1. 1. Establishing a benchmarking platform for AI/ML predictive models for bioactivity and toxicity in agrochemistry.

    Principal investigator: dr hab. Paweł Aleksander Siedlecki

    Instytut Biochemii i Biofizyki PAN

    Call: OPUS 29, Panel: ST4

  2. 2. Quantitative model for predicting CYP inhibition parameters for novel arylpiperazine derivatives.

    Principal investigator: dr Szymon Ulenberg

    Gdański Uniwersytet Medyczny, Wydział Farmaceutyczny z Oddziałem Medycyny Laboratoryjnej

    Call: PRELUDIUM 9, Panel: NZ7

  3. 3. Mechanistic approach for estimating and modelling the bioconcentration potential of charged and ionogenic organic chemic…

    Principal investigator: prof. Piotr Stepnowski

    Uniwersytet Gdański, Wydział Chemii

    Call: BEETHOVEN 2, Panel: ST5

  4. 4. Modeling the relationship between structural features of modified TiO2 NPs and their cytotoxicity in vitro via a combina…

    Principal investigator: Alicja Mikołajczyk

    Uniwersytet Gdański, Wydział Chemii

    Call: PRELUDIUM 10, Panel: NZ7

  5. 5. NMR Spectroscopy as Molecular Language: A Deep Learning Approach to Bioactivity Prediction

    Principal investigator: Arkadiusz Bogumił Leniak

    Instytut Farmakologii PAN

    Call: PRELUDIUM 24, Panel: NZ7

  6. 6. Computational Risk Assessment of ionic liquids Before their use in new technologies (CRAB)

    Principal investigator: dr hab. Tomasz Puzyn

    Uniwersytet Gdański

    Call: SONATA BIS 1, Panel: NZ7

Graphic design and implementation: Jakub Piotrowski