Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

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Towards the integrated molecular modelling – machine learning (MM-ML)" computational method for supporting the design of brain drug delivery nanocarriers

2021/40/Q/ST5/00117

Keywords:

structure-properties relations advanced and functional nanomaterials with designed properties computational methods brain drug delivery systems

Descriptors:

  • ST5_010:
  • ST5_001:
  • NZ7_014:

Panel:

ST5 - Materials: materials synthesis, structure-properties relations, advanced and functional materials with designed properties, (macro)molecular architecture, material engineering

Host institution :

Uniwersytet Gdański, Wydział Chemii

woj. pomorskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

prof. Tomasz Puzyn 

Number of co-investigators in the project: 6

Call: SHENG 2 - announced on 2020-12-15

Amount awarded: 941 352 PLN

Project start date (Y-m-d): 2022-09-30

Project end date (Y-m-d): 2025-09-29

Project duration:: 36 months (the same as in the proposal)

Project status: Project completed

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (4)
  1. A Quantitative Structure - Permittivity Relationship Study of a Series of Polymers
    Authors:
    Yevhenii Zhuravskyi, Kweeni Iduoku, Meade E. Erickson, Anas Karuth, Durbek Usmanov, Gerardo Casanola-Martin, Maqsud N. Sayfiyev, Dilshod A. Ziyaev, Zulayho Smanova, Alicja Mikolajczyk, Bakhtiyor Rasulev
    Academic press:
    ACS Mater. Au (rok: 2024, tom: 4, 2, strony: 195-203), Wydawca: ACS Publications
    Status:
    Published
    DOI:
    10.1021/acsmaterialsau.3c00079 - link to the publication
  2. Predicting zeta potential of liposomes from their structure: A nano-QSPR model for DOPE, DC-Chol, DOTAP, and EPC formulations
    Authors:
    Kamila Jarzyńska, Agnieszka Gajewicz-Skrętna, Krzesimir Ciura, Tomasz Puzyn
    Academic press:
    Computational and Structural Biotechnology Journal (rok: 2024, tom: 25, strony: 45724), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.csbj.2024.01.012 - link to the publication
  3. A Quantitative Structure - Permittivity Relationship Study of a Series of Polymers
    Authors:
    Yevhenii Zhuravskyi, Kweeni Iduoku, Meade E. Erickson, Anas Karuth, Durbek Usmanov, Gerardo Casanola-Martin, Maqsud N. Sayfiyev, Dilshod A. Ziyaev, Zulayho Smanova, Alicja Mikolajczyk, Bakhtiyor Rasulev
    Academic press:
    ACS Mater. Au (rok: 2024, tom: 4, 2, strony: 195-203), Wydawca: ACS Publications
    Status:
    Published
    DOI:
    10.1021/acsmaterialsau.3c00079 - link to the publication
  4. Predicting zeta potential of liposomes from their structure: A nano-QSPR model for DOPE, DC-Chol, DOTAP, and EPC formulations
    Authors:
    Kamila Jarzyńska, Agnieszka Gajewicz-Skrętna, Krzesimir Ciura, Tomasz Puzyn
    Academic press:
    Computational and Structural Biotechnology Journal (rok: 2024, tom: 25, strony: 45724), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.csbj.2024.01.012 - link to the publication

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