| Naziv: | Antimicrobial Rhenium Tricarbonyl Complexes: Accelerating their Discovery by Leveraging Machine Learning Models |
Autori: | Nedyalkova, Miroslava; Demirci, Gozde; Cortat, Youri; Schindler, Kevin; Rhamani, Fatlinda; Horner, Justine; Crochet, Aurelien; Pavić, Aleksandar   ; Mamula Steiner, Olimpia; Zobi, Fabio;
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Ostala autorstva: | Morić, Ivana ; Đorđević, Valentina |
Godina: | 2024 |
Publikacija: | 5th Belgrade Bioinformatics Conference |
Izdavač: | Belgrade : Institute of Molecular Genetics and Genetic Engineering |
Tip rezultata: | Konferencijski rad |
ISBN: | 978-86-82679-16-5  Pretraži identifikator |
Kolacija: | str. 17-17 |
URI: | https://imagine.imgge.bg.ac.rs/handle/123456789/2452
https://enauka.gov.rs/handle/123456789/928078 |
Projekat: | M.L. and M.N. acknowledge financial support from the Swiss National Science Foundation through the NCCR Bio-inspired materials. M.L., F.Z., G.D., Y.C., A.C. acknowledge financial support from the University of Fribourg. K.S. and F.Z. acknowledge financial support from the Swiss National Science Foundation grant number 200021_196967. O.M.S. and J.H. acknowledge financial support from the Haute Ecole Spécialisée de Suisse Occidentale. |
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