Crowdsourced mapping of unexplored target space of kinase inhibitors A Cichońska, B Ravikumar, RJ Allaway, F Wan, S Park, O Isayev, S Li, ... Nature communications 12 (1), 3307, 2021 | 62 | 2021 |
Comprehensive machine learning based study of the chemical space of herbicides D Oršolić, V Pehar, T Šmuc, V Stepanić Scientific reports 11 (1), 11479, 2021 | 24 | 2021 |
Bioprospecting for genes encoding hydrocarbon-degrading enzymes from metagenomic samples isolated from northern adriatic sea sediments R Gacesa, D Baranasic, A Starcevic, J Diminic, M Korlević, M Najdek, ... Food technology and biotechnology 56 (2), 270, 2018 | 12 | 2018 |
Dynamic applicability domain (dAD): compound–target binding affinity estimates with local conformal prediction D Oršolić, T Šmuc Bioinformatics 39 (8), btad465, 2023 | 3 | 2023 |
Drug-likeness, herbicide-likeness and toxicity of herbicidal compounds–in silico analysis V Pehar, D Oršolić, V Stepanić 17. Ružičkini dani" Danas znanost-sutra industrija", 112-123, 2019 | 2 | 2019 |
cfDNA methylation in liquid biopsies as potential testicular seminoma biomarker D Raos, D Oršolić, S Mašić, M Tomić, J Krasić, I Tomašković, NN Gabaj, ... Epigenomics 14 (23), 1493-1507, 2022 | 1 | 2022 |
Ultrasonic disintegration of Aspergillus flavus NRRL 3251 mycelia treated with cell wall degrading enzymes. T Kovač, D Oršolić, A Sluganović, B Šarkanj, I Strelec | 1 | 2016 |
Data from: Comprehensive machine learning based study of the chemical space of herbicides V Stepanić, D Oršolić, T Šmuc Institut Ruđer Bošković, 2023 | | 2023 |
Optimizing approaches and representations for predictive modeling of molecular mechanisms of action and binding affinities of bioactive molecules D Oršolić University of Zagreb. Faculty of Food Technology and Biotechnology …, 2023 | | 2023 |
Dynamic applicability domain (dAD) for compound-target binding affinity prediction task with confidence guarantees D Oršolić, T Šmuc bioRxiv, 2022.08. 22.504786, 2022 | | 2022 |
Novel seminoma biomarker from liquid biopsies D Raos, D Oršolić, S Mašić, M Tomić, A Barešić, N Sinčić The Biochemistry Global Summit, 25th IUBMB Congress, 46th FEBS Congress …, 2022 | | 2022 |
(Re) purposing starts virtually by predictive machine-learning models V Stepanić, D Oršolić, T Šmuc 27. hrvatski skup kemičara i kemijskih inženjera (27HSKIKI), 16-16, 2021 | | 2021 |
Development of phytotoxic natural molecules as complementary herbicidal agents is supported by machine learning study V Stepanić, D Oršolić, V Pehar, T Šmuc 1st international conference Food and Climate Change, 39-39, 2021 | | 2021 |
Ružičkini dani: Međunarodni znanstveno-stručni skup 17. Ružičkini dani „Danas znanost-sutra industrija “: zbornik radova M Andrejaš, M Anđić, G Avdić, T Barbaro, A Bašić, B Budim, ... 17. Ružičkini dani: Danas znanost-sutra industrija, 2019 | | 2019 |
Application of machine learning approaches for design of more selective herbicides V Pehar, D Oršolić, M Jadrijević-Mladar Takač, V Stepanić 3rd COST-sponsored ARBRE-MOBIEU plenary meeting Molecular Biophysics-ABC of …, 2019 | | 2019 |
Application of machine learning for herbicide characterization V Pehar, D Oršolić, V Stepanić Computational Chemistry Day 2019, 33-33, 2019 | | 2019 |
In silico predictions of ADME/Tox features of herbicides V Stepanić, D Oršolić, V Pehar, M Jadrijević-Mladar Takač UNGAP Spring Meeting of COST Action CA16205, 2019 | | 2019 |
In silico analysis of herbicides–impact on human health V Pehar, D Oršolić, V Stepanić 26. hrvatski skup kemičara i kemijskih inženjera (26HSKIKI); 4. simpozij …, 2019 | | 2019 |
Biološka raznolikost gena što sadržavaju genetičku uputu za enzime koji razgrađuju ugljikovodike iz uzoraka metagenoma izoliranih iz sedimenata sjevernog Jadranskog mora R Gacesa, D Baranasic, A Starcevic, J Diminic, M Korlević, M Najdek, ... Food Technology and Biotechnology 56 (2), 270-277, 2018 | | 2018 |
Structure-Activity Relationships for Herbicides V Pehar, D Oršolić, V Stepanić 17. Ružičkini dani" Danas znanost-sutra industrija", 101-101, 2018 | | 2018 |