Projects funded by the NCN
Fingerprint Połączeń Podstrukturalnych - nowa metoda reprezentacji związków chemicznych
2016/20/T/NZ2/00510
Keywords:
Descriptors:
- NZ7_14: Pharmacy, pharmacotherapy, pharmacology
- ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
- NZ2_7: Bioinformatics
Panel:
NZ2 - Genetics, genomics: molecular genetics, genomics, proteomics, bioinformatics, systems biology, genetic epidemiology
Host institution :
Instytut Farmakologii Polskiej Akademii Nauk
woj. małopolskie
Principal investigator (from the host institution):
Number of co-investigators in the project: 2
Call: ETIUDA 4 - announced on 2015-12-15
Amount awarded: 65 432 PLN
Project start date (Y-m-d): 2016-10-01
Project end date (Y-m-d): 2017-09-30
Project duration:: 12 months (the same as in the proposal)
Project status: Project settled
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 (1)
- Fingerprint-Based Machine Learning Approach to Identify Potent and Selective 5-HT2BR LigandsAuthors:Krzysztof Rataj, Ádám Andor Kelemen, José Brea, María Isabel Loza, Andrzej J. Bojarski, György Miklós KeserűAcademic press:Molecules (rok: 2018, tom: 23(5), strony: 1137), Wydawca: MDPIStatus:PublishedDOI:10.3390/molecules23051137 - link to the publication