Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
Slika profila

Davor Oršolić

34877

Davor

Oršolić

nije evidentirano
Naziv Akcije
Raos, Dora ; Oršolić, Davor ; Mašić, Silvija ; Tomić, Miroslav ; Krasić, Jure ; Tomašković, Igor ; Gabaj, Nora Nikolac ; Gelo, Nina ; Kaštelan, Željko ; Kuliš, Tomislav et al. cfDNA methylation in liquid biopsies as potential testicular seminoma biomarker // Epigenomics, 14 (2022), 23; 1493-1507. doi: 10.2217/epi-2022-0331
Raos, Dora ; Oršolić, Davor ; Mašić, Silvija ; Tomić, Miroslav ; Barešić, Anja ; Sinčić, Nino Novel seminoma biomarker from liquid biopsies // FEBS OpenBio, 12 (2022), Suppl 1. 2022. str. 72-72 doi: 10.1002/2211-5463.13440
Stepanić, Višnja ; Oršolić, Davor ; Šmuc, Tomislav Machine learning in chemical compound space // Mini-simpozij Hrvatskog kemijskog društva Rijeka, Hrvatska, 04.07.2022-04.07.2022
Oršolić, Davor ; Lučić, Bono ; Stepanić, Višnja ; Šmuc, Tomislav Prediction of Drug-Kinase Binding Affinities with Focus on Conserved Protein Kinase Domain // ISMB/ECCB 2021 (29th Annual Conference) Virtual Event, 25.07.2021-30.07.2021
Cichońska, Anna ; Ravikumar, Balaguru ; Allaway, Robert J. ; Wan, Fangping ; Park, Sungjoon ; Isayev, Olexandr ; Li, Shuya ; Mason, Michael ; Lamb, Andrew ; Tanoli, Ziaurrehman et al. Crowdsourced mapping of unexplored target space of kinase inhibitors // Nature communications, 12 (2021), 3307, 18. doi: 10.1038/s41467-021-23165-1
Stepanić, Višnja ; Oršolić, Davor ; Šmuc, Tomislav (Re)purposing starts virtually by predictive machine-learning models // 27th Croatian Meeting of Chemists and Chemical Engineers and 5th Symposium Vladimir Prelog : Book of Abstracts / Marković, Dean ; Meštrović, Ernest ; Namjesnik, Danijel et al. (ur.). Zagreb: Hrvatsko kemijsko društvo, 2021. str. 16-16
Stepanić, Višnja ; Oršolić, Davor ; Pehar, Vesna ; Šmuc, Tomislav Development of phytotoxic natural molecules as complementary herbicidal agents is supported by machine learning study // Book of Abstracts of 1st international conference "Food & Climate Change" / Šamec, Dunja ; Šarkanj, Bojan ; Sviličić Petrić, Ines (ur.). Koprivnica, 2021. str. 39-39
Oršolić, Davor ; Pehar, Vesna ; Šmuc, Tomislav ; Stepanić, Višnja Comprehensive machine learning based study of the chemical space of herbicides // Scientific reports, 11 (2021), 11479, 12. doi: 10.1038/s41598-021-90690-w
Pehar, Vesna ; Oršolić, Davor ; Stepanić, Višnja Structure-Activity Relationships for Herbicides // 17. Ružičkini dani "Danas znanost – sutra industrija" : knjiga sažetaka = 17th Ružička days "Today science – tomorrow industry" : Book of Abstracts / Tomas, Srećko ; Ačkar, Đurđica (ur.). Osijek: Prehrambeno tehnološki fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku ; Hrvatsko društvo kemijskih inženjera i tehnologa (HDKI), 2018. str. 101-101
Gacesa, Ranko ; Baranasic, Damir ; Starcevic, Antonio ; Diminic, Janko ; Korlević, Marino ; Najdek-Dragić, Mirjana ; Blažina, Maria ; Oršolić, Davor ; Kolesarić, Domagoj ; Long, Paul F. et al. Bioprospecting for Genes Encoding Hydrocarbon-Degrading Enzymes from Metagenomic Samples Isolated from Northern Adriatic Sea Sediments // Food technology and biotechnology, 56 (2018), 2; 270-277. doi: 10.17113/ftb.56.02.18.5393
nije evidentirano
nije evidentirano