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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Application of machine learning based artificial intelligence to search for substances that modulate the activity of RORgamma/RORgammaT receptors.

2019/33/B/NZ7/00795

Keywords:

Artificial intelligence machine learning RORgamma RORgammaT agonist antagonist Th17 lymphocytes autoimmunological diseases cancers.

Descriptors:

  • NZ7_12: Prevention of human diseases
  • NZ7_14: Pharmacy, pharmacotherapy, pharmacology
  • NZ7_16: Other related subjects

Panel:

NZ7 - Diagnostic tools, therapies and public health: public health, epidemiology, environmental health risks and occupational medicine, medical ethics, drug discovery and therapies, pharmacology

Host institution :

Instytut Biologii Medycznej Polskiej Akademii Nauk

woj.

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr hab. Marcin Marek Ratajewski 

Number of co-investigators in the project: 5

Call: OPUS 17 - announced on 2019-03-15

Amount awarded: 1 277 600 PLN

Project start date (Y-m-d): 2020-02-06

Project end date (Y-m-d): 2025-02-05

Project duration:: 60 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 (10)
  1. RORγT agonists as immune modulators in anticancer therapy.
    Authors:
    Bachorz RA, Pastwińska J, Nowak D, Karaś K, Karwaciak I, Ratajewski M.
    Academic press:
    Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (rok: 2023, tom: Volume 1878, Issue 6,, strony: 189021), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.bbcan.2023.189021 - link to the publication
  2. Neural Networks in the Design of Molecules with Affinity to Selected Protein Domains
    Authors:
    Damian Nowak, Rafał A. Bachorz, Marcin Hoffmann
    Academic press:
    International Journal of Molecular Sciences (rok: 2023, tom: 24(2), strony: 1762), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/ijms24021762 - link to the publication
  3. Cardiac glycosides with target at direct and indirect interactions with nuclear receptors
    Authors:
    Kaja Karaś, Anna Sałkowska, Jarosław Dastych, Rafał A. Bachorz, Marcin Ratajewski
    Academic press:
    Biomedicine & Pharmacotherapy (rok: 2020, tom: 127, strony: 110106), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.biopha.2020.110106 - link to the publication
  4. Cardiac glycosides with target at direct and indirect interactions with nuclear receptors
    Authors:
    Kaja Karaś, Anna Sałkowska, Jarosław Dastych, Rafał A. Bachorz, Marcin Ratajewski
    Academic press:
    Biomedicine & Pharmacotherapy (rok: 2020, tom: 127, strony: 110106), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.biopha.2020.110106 - link to the publication
  5. Identification of Corosolic and Oleanolic Acids as Molecules Antagonizing the Human RORγT Nuclear Receptor Using the Calculated Fingerprints of the Molecular Similarity
    Authors:
    Joanna Pastwińska, Kaj Karaś, Anna Sałkowska, Iwona Karwaciak, Katarzyna Chałaśkiewicz, Błażej A Wojtczak, Rafał A. Bachorz, Marcin Ratajewski
    Academic press:
    Internation Journal of Molecular Sciences (rok: 2022, tom: 23, strony: 1906), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/ijms23031906 - link to the publication
  6. Neural Networks in the Design of Molecules with Affinity to Selected Protein Domains
    Authors:
    Damian Nowak, Rafał A. Bachorz, Marcin Hoffmann
    Academic press:
    International Journal of Molecular Sciences (rok: 2023, tom: 24(2), strony: 1762), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/ijms24021762 - link to the publication
  7. The application of machine learning methods to the prediction of novel ligands for RORγ/RORγT receptors
    Authors:
    Bachorz RA, Pastwińska J, Nowak D, Karaś K, Karwaciak I, Ratajewski M.
    Academic press:
    Computational and Structural Biotechnology Journal (rok: 2023, tom: Volume 21, 2023, strony: 5491-5505), Wydawca: Elsevier
    Status:
    Published
  8. Identification of Corosolic and Oleanolic Acids as Molecules Antagonizing the Human RORγT Nuclear Receptor Using the Calculated Fingerprints of the Molecular Similarity
    Authors:
    Joanna Pastwińska, Kaj Karaś, Anna Sałkowska, Iwona Karwaciak, Katarzyna Chałaśkiewicz, Błażej A Wojtczak, Rafał A. Bachorz, Marcin Ratajewski
    Academic press:
    Internation Journal of Molecular Sciences (rok: 2022, tom: 23, strony: 1906), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/ijms23031906 - link to the publication
  9. Identification of Corosolic and Oleanolic Acids as Molecules Antagonizing the Human RORγT Nuclear Receptor Using the Calculated Fingerprints of the Molecular Similarity
    Authors:
    Joanna Pastwińska, Kaj Karaś, Anna Sałkowska, Iwona Karwaciak, Katarzyna Chałaśkiewicz, Błażej A Wojtczak, Rafał A. Bachorz, Marcin Ratajewski
    Academic press:
    Internation Journal of Molecular Sciences (rok: 2022, tom: 23, strony: 1906), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/ijms23031906 - link to the publication
  10. Cardiac glycosides with target at direct and indirect interactions with nuclear receptors
    Authors:
    Kaja Karaś, Anna Sałkowska, Jarosław Dastych, Rafał A. Bachorz, Marcin Ratajewski
    Academic press:
    Biomedicine & Pharmacotherapy (rok: 2020, tom: 127, strony: 110106), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.biopha.2020.110106 - link to the publication